The diode power accumulation process might be thought of as a buffer management process in software where a core process feeds data into a output function but when the data level is below a predetermined level, the disk is read to refill the buffer. But there is a difference, since two independent processes can access the battery: the vacuum energy accumulator and the supercapacitor when it reaches the full condition or when it requires recharge.
Since the battery generates heat when accessed, it is prudent to replace its function with a solid state battery. This store must be sized to minimize power flow to/from the battery.
Because supercapacitors have an initial state of zero volts, they act as a dead short-circuit upon immediate connection to a voltage source. If the unconditioned, erratic Extracted Vacuum Energy (EVE) is used to directly charge an empty supercapacitor bank, the massive inrush current step will instantly pull down the node, destabilize the internal diode aggregation, and cause an immediate system-wide drop-out or startup crash.
To break this loop without violating the low-thermal-signature constraint, the architecture integrates a Dual-Path Priming Relay Circuit backed by a low-capacity auxiliary battery. This layout functions exactly like a software buffer management pipeline, utilizing a physical battery as a slow-access “hard disk” to fill a high-speed supercapacitor “RAM cache” during critical supply anomalies.
The Pre-Emptive Operational Staging Loop
Phase 1: The Cold-Start “Disk Read” (Priming the Store)
Upon initial cold startup, before any bulk vacuum energy is allowed to flow toward the output hub, the 32-bit microcontroller brain (central 32-bit TI C2000 microprocessor brain) wakes up via the internal micro-power tap.
The Action: The controller detects that the supercapacitor buffer voltage is below the operational threshold (< 11.5 volts).
The Logic: It engages a low-current, current-limited charging path from the Auxiliary Battery. This path functions as a controlled "disk read," slowly feeding energy through a high-impedance protection circuit to prime the supercapacitors up to a rock-solid 12 volts DC.
Thermal Guard: Because batteries inherently generate internal chemical friction (ohmic heat) during charge and discharge cycles, this priming path is restricted to a low-current trickle (<=100 mamps). ensuring zero localized thermal signature on the motherboard.
Phase 2: Autonomous Handoff (The Fast Cache State)
The moment the supercapacitor bank reaches its full, primed condition (12 volts):
The Action: The microcontroller completely disconnects the auxiliary battery from the store using a solid-state isolation relay.
The Logic: The system enters a persistent cache state. The high-speed GaN H-Bridge Matrix is engaged. The fast-access supercapacitors now handle 100% of the dynamic, real-time load compensation and relaxation pulse smoothing.
Phase 3: The Independent Dual-Process Arbitration
Once active, two completely independent electronic processes are permitted to access the supercapacitor buffer network based on strict priority logic:
The Vacuum Energy Accumulator (Process A): Operates at
high frequency (500.000 cps), dumping irregular relaxation pulses into the supercapacitor array whenever the EVE spikes above. This keeps the reservoir constantly topped off entirely through solid-state, zero-heat electrostatic transfer.
The Battery Refresh Loop (Process B): If a prolonged, multi-second vacuum drop-out occurs, the supercapacitor level will drop below the safety floor (< 11 volts). Only then does the controller reconnect the battery path to "refill the buffer."
Because the supercapacitor bank is deliberately over-sized, the system holds enough electrostatic reserve to bridge standard drop-outs internally. This limits battery access to rare, worst-case anomalies, enforcing the sparing access rule to keep the board permanently cool.
Plain Language Functional Translation:
The Battery's True Job: The battery is not there to run the house; it acts like the starter motor in a car or a hard drive in a computer. An empty supercapacitor bank is a giant "empty tank" that would choke the system if we filled it too fast. We use a tiny drop of battery power to slowly fill that tank up to 12 volts before we turn the machine on.
The Sparing Rule (Heat Cop): Charging or draining a chemical battery makes it hot, and heat is fatal to the NGU diodes. To solve this, the smart computer brain cuts the battery out of the loop the exact microsecond the supercapacitors hit 12 volts.
The Big Bucket: We deliberately made the Supercapacitor Bank extra-large so it can act as the primary storage bucket. It catches all the erratic, choppy "flushes" of vacuum energy and smooths them out cleanly. The system only knocks on the battery's door as an absolute last resort if the vacuum goes completely quiet for a prolonged period, ensuring the board stays completely cool.
If permitted to continue, each level of the power store hierarchy is identified with optimum hardware in the next post.
The technology looks interesting I think more generally too it’s a good example of the kind of breakthrough that can open up a lot of possibilities. It’s always nice to see that new things bringing new possibilities are always there I no the horizon I think.
= Vacuum Engineering and the Dissolution of Developmental Causality
== How the Synthesis of Entropic Quantum Generators and Computational Engineering Compresses Global Technological Evolution
=== The Thermodynamic Opening of the Vacuum: From Max Planck to Quantum Fluctuation
The historical trajectory of modern physics is inextricably linked to the progressive realization that empty space is not a physical nonentity. As early as the formulation of quantum theory, Max Planck modified the fundamental radiation formula and encountered a mathematical residual term that persists even at absolute zero temperature. This foundational energetic baseline, zero-point energy, marked the inception of a profound paradigm shift. Subsequent quantum field theory substantiated this insight both empirically and theoretically: the vacuum is a dynamic medium, a ceaselessly fluctuating field replete with virtual particle pairs and electromagnetic zero-point oscillations. It represents the ultimate energetic baseline of our universe, possessing a calculated energy density that defies traditional macroscopic scales.
For decades, this incomprehensible reservoir remained a theoretical curiosity of quantum mechanics, isolated within academic discourse and seemingly unreachable by practical engineering. The barrier to technological exploitation resided primarily in the Second Law of Thermodynamics, which, in its classical interpretation, prohibits the extraction of useful work from a system in thermal equilibrium. However, this mathematical restriction applies strictly only to closed systems. The quantum vacuum, by contrast, constitutes a thermodynamically open system of infinite capacity.
The key to harnessing this field does not lie in an impossible violation of thermodynamic laws, but rather in the establishment of an entropic pump. Such a system does not generate energy ex nihilo; instead, it shifts the system boundaries by inducing macroscopic quantum effects to extract coherence and order from the stochastic noise of the vacuum. By exporting local entropy, the omnipresent zero-point energy can be converted into directed, macroscopically usable electricity.
=== The Evolution of the E-Cat: The Principle of the Entropic Pump in Practice
The empirical validation that such a thermodynamic transformation is feasible is manifested in the decades-long development of the E-Cat system by Andrea Rossi. Beginning with the early phases of Low Energy Nuclear Reactions (LENR), the technology underwent a critical evolution away from classical chemical-nuclear explanatory models toward the pure utilization of quantum vacuum phenomena. The breakthrough of modern iterations, such as the E-Cat SKLep, rests upon the targeted manipulation of electron clusters and long-range particle interactions. Under specific geometric and electromagnetic conditions, charge carriers aggregate into coherent macroscopic clusters that interact strongly with the un-bounded modes of the zero-point energy field, enabling a resonant coupling.
The provisional zenith of this empirical validation was marked by the successful public demonstration of the E-Cat SKLep NGU in Latina in 2024. The seamless integration of this compact generator into a commercial electric vehicle provided definitive proof of continuous, self-sustained power output under real-world operating conditions. Operating entirely without external energy input, the vehicle recharged its storage systems solely through the continuous conversion of the quantum vacuum while in motion. Latina demonstrated unequivocally that the phase of purely theoretical physical analysis is complete: the physical proof-of-concept for the entropic pump has been established.
Nevertheless, the subsequent attempt at global market entry laid bare the classic, seemingly insurmountable barrier of technological diffusion. While the underlying physical principle operates flawlessly in laboratory environments and dedicated prototypes, transitioning into industrial reality requires a fundamental adaptation to an infinite variety of application scenarios. Every technological ecosystem — whether a smartphone, an industrial heating plant, a drone, or a medical apparatus — imposes entirely unique constraints on geometry, voltage stability, thermal management, and transient behavior during load changes.
In classical engineering, this translates into decades of linear, trial-and-error development cycles. The physical laws governing the E-Cat must be recalibrated, experimentally validated, and optimized through protracted material testing for every single application. This systemic inertia forms the actual bottleneck that held the revolutionary potential of zero-point energy captive within the shackles of traditional developmental causality.
=== Computational Engineering and Algorithmic Liberation
At this precise vulnerability in industrial evolution, a radically new methodology intervenes, dissolving the dichotomy between physical theory and geometric manifestation: Computational Engineering, epitomized by generative software architectures such as LEAP 71’s Large Computational Engineering Model, Noyron. Rather than human engineers drawing CAD models based on empirical heuristics and evaluating them sequentially, such a system translates fundamental physical rules directly into executable computer code. Noyron functions as a cognitive bridge, transforming the mathematical expressions of fluid dynamics, electromagnetism, and thermodynamics into functional geometries.
The disruptive potential of this methodology is frequently oversimplified in public perception, mischaracterized as merely the fabrication of monolithic metallic structures, akin to the additive manufacturing of rocket engines. For the widespread deployment of quantum-mechanical energy conversion, however, this narrow view is insufficient. The technological reality of Noyron encompasses a far more sophisticated spectrum of additive processes that entirely erases the boundaries of traditional material separation:
* Simultaneous Multi-Material Synthesis: Advanced generative algorithms orchestrate sophisticated printing techniques that fuse disparate material classes within a single, uninterrupted manufacturing cycle. High-conductivity copper architectures for electromagnetic fields can thus be embedded directly into ferromagnetic steel housings — a principle currently being pioneered in the computational design of next-generation electric motor stators.
* Integrated 3D Electronics and Metamaterials: The software architecture is capable of embedding three-dimensional conductive paths, dielectric insulating layers, and functional semiconductor structures directly into the load-bearing hardware. No longer is a conventional printed circuit board bolted into a chassis; the chassis itself becomes the circuit and the electromagnetic waveguide.
* Functional Functionally Graded Materials: By commanding precise, voxel-level control over material composition during the solidification process, components can be synthesized with physical properties — such as thermal conductivity or permeability — that transition fluidly across the geometry to dissipate extreme transient voltages or thermal stresses without structural degradation.
When the precise physical rulebook of an entropic pump — the exact conditions for initiating the long-range particle interactions and the geometry of the E-Cat’s charge clustering — is implemented as an algorithmic parameter set within Noyron, the traditional development construct collapses. The software requires no lengthy physical experimentation to engineer a flawless thermal system, a perfectly shielded 3D circuit layout, or a resonance-optimized reactor core. The algorithm computes the physically correct multi-material architecture instantaneously, generating production-ready fabrication data for advanced 3D printing. The resulting hardware is no longer dictated by human experience, but emerges as a direct, mathematically immutable derivative of natural law.
=== The Dissolution of Developmental Causality: An Autocatalytic Transformation
The logical consequence of fusing inexhaustible quantum conversion (E-Cat) with algorithmic hardware synthesis (Noyron) is a radical rupture in the linear temporal structure of human progress. Historically, industrial revolutions unfolded across generations because factories required retooling, supply chains demanded restructuring, and labor forces necessitated extensive retraining. The exploitation of any novel energy source has invariably been a sluggish, multi-decade process of gradual substitution.
The symbiosis of the entropic pump and Computational Engineering dismantles this temporal causality. Once the algorithmic model of the E-Cat cell becomes universally accessible, the timeline from conceptualization to deployable hardware shrinks from years to mere minutes. An industrial enterprise no longer requires an in-house quantum physics research division; it simply inputs the desired performance metrics and form factors into the system, and the algorithm synthesizes the integrated, self-sustaining power supply in real time.
This triggers a simultaneous, multidimensional disruption that evades all conventional economic forecasting. It is not an isolated event shaking a single sector — as digitization once transformed photography — but a cascading, autocatalytic collapse of legacy infrastructure. Virtually in parallel, heating systems, maritime propulsion, aerospace structures, consumer electronics, and industrial manufacturing plants are decoupled from fuel and grid dependencies. Because the developmental threshold drops toward zero, these autonomous systems infiltrate every physical market with explosive velocity.
This dynamic unleashes an impact that transcends known historical waves of innovation. It breaches the global economy like an unpredictable, uncontrollable surge of fundamental extreme events, irreversibly obsolescing all economic models predicated on resource allocation, geopolitical power distribution, and centralized infrastructure. The confluence of an infinite, decentralized energy source and its immediate, universal formability via artificial intelligence compresses the evolution of human civilization. It catapults industrial infrastructure, without a transitional phase, into a new, thermodynamically open systemic state — one whose social and economic stability must be engineered on entirely new principles beyond scarcity and centralized distribution.
Electrical protection for NGUs in households[1:] in the UK:
This law and regulation would apply equally to NGUs generating ‘reverse power’ through inverters.
Microinverters can introduce smooth DC residual currents that blind Type AC and Type A devices.
A plug-top fuse offers no RCD protection at all.
Installing an NGU on a standard wall socket is not compliant with BS 7671. You may be uninsured, in breach of your tenancy agreement, and depending on circumstances, in breach of Part P of the Building Regulations.
Getting the law right is an on-going government project.
[1:] https://www.pluginsolarexplained.co.uk/is-plug-in-solar-legal-uk/
1: Regulation 551.7.2 — the generating set must be connected on the supply side of the consumer unit.
2: Regulation 551.7.2 — the generating set must be connected via its own dedicated circuit.
3: Regulation 551.7.1 — that dedicated circuit must be appropriately protected for the generating source.
Why a plug-in kit on a 13A socket fails all three:-
1: It sits on the load side of the consumer unit
2: A normal ring main or radial socket circuit is, by definition, downstream of the consumer unit, that’s the whole point of the consumer unit. A microinverter plugged into a wall socket therefore connects on the load side, not the supply side. That alone fails 551.7.2.
3: The ring main is not a dedicated circuit
Steven Nicholes Karels,
Thank you for your opinion.
Please read again what I already wrote here about this issue. Anyway, to buy an Ecat will not be obligatory…
Warm Regards,
A.R.
“Space heaters typically run for 4 to 8 hours a day. For safety and efficiency, it is generally recommended to use built-in timers and never leave them running unattended or while sleeping, though modern models with thermostats and auto-shutoff features can safely maintain steady temperatures.
Recommended Run Times
Daytime Use: 6 to 8 hours is standard if you are home, awake, and in the same room.
Overnight Use: It is not recommended to run a space heater all night due to fire risks. If needed, limit operation to 4 to 6 hours on a lower setting, using a timer.
Continuous Limits: Running a heater for more than a few hours at a time is generally discouraged unless it has advanced, trusted safety features.
Electricity & Costs (Based on a typical 1,500-watt heater)
Per Hour: Consumes 1.5 kWh. Assuming the national average electricity cost of roughly$0.18 USD per kWh, this costs about $0.27 USD per hour.
Daily: Running the heater for 8 hours uses 12 kW-hrs costing approximately $2.16 USD per day.
Monthly: Daily use can add anywhere from $50 USD to $69 USD to your monthly electric bill.”
Acquisition Cost: AR previously quoted $4 USD per Watt. For a 1,500 W, the heater would cost $6,000 USD.
If the average saving in electricity cost were $60 USD per month, then the breakeven period would be about 100 months or about 12 years.
Solid state supercapacitors are coming into their own. If a large capacity power store is needed to hold power as a replacement for a lithium ion battery, the solid state supercapacitor might be a good fit.
Industry Specification Breakdown
Feature
Standard Lithium-Ion Battery
Advanced LIC / Graphene Supercapacitor
Energy Capacity
High (150–260 Wh/kg)
Matched (Up to 150 Wh/kg via advanced composites)
however Off-the-shelf high-end graphene supercapacitors (like those from Skeleton Technologies) actually operate between 10 to 15 Wh/kg. They hold roughly 10 to 20 times less energy than a lithium-ion battery of the same weight. This low capacity might be an acceptable tradeoff against their other advantages.
Access Response Time
Slow (10 to 100 ms)
Sub-Microsecond
Thermal Profile
High heat under load (Fire Risk)
Cool running (Immune to thermal runaway) little to no heat produced
Cycle Life
500–3,000 cycles
500,000 to 1,000,000+ cycles
Self-Discharge Rate
Low (~1-2% per month)
High (~20-30% per month)
A solid-state supercapacitor is an excellent fit for the NU sense this application requires extreme speed, infinite lifetimes, and absolute safety against fires. However, the Self-Discharge Rate might need a work around if the NGU is idol over long periods of time. For example, a very small button chemical battery might need to be fielded to account for this long idol contingency
Steven Nicholes Karels:
1- Please read the many comments I wrote here during the last month regarding the kind and use of the Ecat generated electricity
2- The shape of the body will be disclosed at the public presentation
Warm Regards,
A.R.
Bartholomew:
No, we will contact all the Clients that sent us their pre-order form in order of date even if they pre-ordered 10 W modules, and offer them to turn the pre-orders into regular orders for 100 W modules: they will be free to confirm the order for 100 W modules, or cancel their pre-order without money changing pockets,
Warm Regards,
A.R.
Gentile sig.Rossi buongiorno ben ritrovato e complimenti per il vostro interessante lavoro.
Per una eventuale presentazione del prodotto entro questo stesso anno direi siamo a metà del guado..ne deduco siate in autentico fermento. consapevoli sia un traguardo piu che importante.
Posso chiedere se nello specifico siate indirizzati in una sezione particolare come priorità o se procedete in maniera uniforme verso questa imminente presentazione?
ENGLISH SYNOPSIS
DO YOU HAVE MARKET PRIORITIES OR YOU WILL PROCEED UNIFORMLY ?
Neuron is a specialized computer program that programmers and engineers have spent years perfecting. It is in the class of software such as chess programs and TurboTax for tax preparation. Many man-years of effort in design goes in up front in this type of software. Flexibility is added to encompass a range of applications where a specification drives the program’s execution.
There are systems that can build houses based on a specification for that house using extruded cement construction methods.
The NGU is a candidate for such an automated power system design system that has sufficient flexibility to configure a power system for many types of applications such as cars, boats, ships, planes, drones, Internal Combustion Generators, Chemical Battery Systems, Home power, Fossil Fuel Power Plants.
Just Fossil Fuel, and Power Plan replacement requires a wide range of flexibility: gas, coal, nuclear, wind, solar, and hydro.
Just load the specification into the NGU configuration program and out comes a new power system in minutes that include the build directions and internal NGU control programming. The build order automatically orders components, manufactures the system and loads the software, packages the system for delivery, provides the operating procedures, and site configuration.
With many millions of such systems that must be replaced, automation is a requirement.
There is no replacement for human experience. The AI must be constrained by tight guardrails so that the AI does not specify something that is unworkable.
The AI must not describe a system that is not comprehensible to a human. If a system is incomprehensible, it cannot be debugged. The human must understand in detail every aspect of the AI generated system.
The AI must follow a system of explanation about the details of the system design that teaches the user what the AI is doing and/or wants to do.
There also must be a general master systems design with its own layer of constraints and measures. I have been thinking about how the NGU could be configurable to meet the needs of the widest ranges of future energy applications. That vision would be a guardrail for AI system design. But that master plan is a group effort where many humans contribute to that plan in a process of give and take experience sharing.
There is also a requirement honed through human experience to know when to constrain a concept or to provide a prudent degree of flexibility.
There is also the issue of designing the transition plan between what now exists to what the final goal is envisioned to be. This includes how to incorporate new technology into the master plan as time goes on.
Artificial General Intelligence (AGI) is a hypothetical form of AI that matches or exceeds human-level cognitive abilities, allowing it to learn, reason, and solve problems across any intellectual domain without specialized retraining. Unlike today’s narrow AI—which excels only at specific tasks like generating text or playing chess—an AGI would possess human-like adaptability, common sense, and the efficiency to learn entirely new skills on its own.
AGI means is to simulate Leonardo De Vinci to imagine what could be and how best to get there.
Until that AGI time, great care must be followed in directing the AI to follow the human plan even with its imperfections in every detail.
@Jean Paul Renoir,
I totally agree with your comment; by the way: the 60% of energy demand in the world is to make heat, industrial and household,
Cheers
Karen
Dr Rossi:
1- I understand that after the public presentation of the Ecat, all the persons that sent pre-orders will be contacted day by day, not all at once, therefore it will take months before the waiting list will be totally served, correct ?
2- the persons that will turn the non binding pre-order into a regular order wull have to prepay the Ecats ?
Thank you if you can answer,
Elizabeth
Frank Acland:
1- yes
2- at the time of the public presentation; at that point all the persons that sent the pre-order forms will be contacted and will be free to decide if to turn the pre-orders into a regular order, or cancel the pre-orders WITHOUT MONEY CHANGING HANDS,
Warm Regards,
A.R.
E-Cat and LEAP 71:
The convergence of computational engineering and advanced energy concepts may eventually represent one of the most profound technological turning points in modern history. If one assumes that systems such as the E-Cat are indeed capable of coupling to the quantum vacuum — or more specifically to the Zero-Point Energy Field — through some form of entropic pumping mechanism, then entirely new engineering methodologies may become necessary to fully unlock their potential. In this context, the work of LEAP 71 becomes extraordinarily relevant.
LEAP 71 is not merely another artificial intelligence company. Its significance lies in the attempt to fundamentally redefine the engineering process itself. Instead of manually designing machines using conventional CAD methodologies, LEAP 71 employs a form of computational engineering in which physical laws, thermodynamic constraints, material properties, and energy-flow conditions are encoded algorithmically. The machine geometry is then generated autonomously by the computational system.
This distinction is crucial. Traditional engineering is largely based on human intuition, experience, and geometrically manageable structures. Human engineers tend to design systems that are symmetrical, linear, visually comprehensible, and conceptually intuitive. However, highly complex energetic interactions — especially those potentially involving resonance phenomena, non-equilibrium thermodynamics, coherent quantum states, or vacuum-field coupling — may not produce optimal structures that are intuitive to the human mind.
If the E-Cat principle truly depends upon subtle interactions between:
then the optimal architecture of such a system may be extraordinarily complex and potentially beyond the practical design capabilities of conventional engineering approaches.
This is precisely where computational engineering systems such as LEAP 71 could become revolutionary.
Instead of designing a reactor directly, engineers would define the governing physical objectives and constraints:
* maximize coherent field interaction,
* stabilize non-equilibrium states,
* optimize entropy gradients,
* amplify resonance coupling,
* control thermal self-organization,
* or maximize energy extraction efficiency.
The computational system would then autonomously search through immense multidimensional parameter spaces, generating geometries that no human engineer would likely ever conceive manually.
Importantly, many of these structures would probably appear chaotic, asymmetric, or even irrational from a classical engineering perspective. Yet evolution itself demonstrates that highly optimized systems are often neither simple nor intuitively understandable.
Nature does not design with human aesthetics in mind.
It optimizes function through immense iterative exploration.
Computational engineering effectively attempts to reproduce this principle technologically.
The implications become even more significant when combined with modern additive manufacturing technologies such as high-precision metal 3D printing. Conventional manufacturing imposes severe limitations on geometry complexity. But additive manufacturing allows the direct physical realization of computationally generated structures that would previously have been impossible to fabricate.
This combination — generative physics-based design plus advanced additive manufacturing — may eventually enable entirely new classes of energy systems.
One can therefore envision a future in which Zero-Point Energy systems are not “invented” in the traditional sense, but rather computationally evolved.
In such a paradigm, the role of the engineer changes fundamentally:
the engineer no longer designs the machine itself, but instead defines the physical rules from which the machine emerges.
That shift may represent one of the deepest transformations in the history of engineering.
Instead of:
“We build machines.”
the future may become:
“We cultivate emergent physical systems.”
If technologies such as the E-Cat ultimately prove capable of stable interaction with the Zero-Point Energy Field, then computational engineering platforms like LEAP 71 may become uniquely suited to discovering the extraordinarily subtle and highly non-intuitive geometries required for efficient operation.
The true revolution may therefore not simply be Zero-Point Energy itself.
The greater revolution could be the emergence of machine intelligence capable of discovering entirely new classes of physical structures beyond unaided human imagination.
https://www.youtube.com/watch?v=1gpLoudrp_g
This video may document one of the most radical technological breakthroughs in modern engineering history: a company consisting of only two people is developing fully functional rocket engines within just a few weeks — including Aerospike engines that even major aerospace corporations and national space agencies have struggled with for decades. What is being presented here is not merely “better software,” but potentially a complete transformation of engineering itself, where expert-level physics and design knowledge are encoded into deterministic computational systems capable of autonomously generating real high-performance hardware. If this approach proves scalable and reliable, LEAP 71 could reduce development cycles for complex technologies from years to weeks, with massive implications for spaceflight, energy systems, aviation, medical engineering, industrial manufacturing, and virtually every advanced technology sector. What makes the story even more extraordinary is that this is not emerging from a billion-dollar government program, but from a small office in Dubai already producing hardware that would have been considered nearly impossible only a few years ago. Anyone who wants to understand what the next industrial revolution may look like should watch this video immediately: https://www.youtube.com/watch?v=1gpLoudrp_g (english subtitles are available).
Dr Andrea Rossi,
Beyond any possible doubt, the delivery of an electric generator that with the Joule effect obtains a high overunit is in itself one of the most important inventions of the last 100 years, but…
are you and your Team still working to succeed to obtain the self sustained mode ?
Ad majora !
JPR
Giannino Ferro Casagrande:
Thank you for your support.
After the public presentation we will deliver the Ecats along the dates of the received pre-order forms,
Warm Regards,
A.R.
CARO ANDREA SO CHE A BREVE CONSEGNERETE GLI ECAT POTREI PER CORTESIA ESSERE UNO TRA I PRIMI AD AVERE GLI ECAT ! ANCHE SUBITO QUALCHE PEZZO ! COSI’ SI FACILITANO LE CONSEGNE ! GRAZIE !
ENGLISH synopsis:
Can I receive at once, before the public demonstration an Ecat ?
I thank you for your positive response to consider my suggestions until the global presentation comes.
In my last 3 posts in JoNP there are suggestions on how Ecat can be used in homes and integrated into our electricity networks.
Here I have taken as a starting point the demonstration in Latina, which is the only one from which there are minutes.
Here the demonstration was successful in powering an EV by Ecat supplying energy to the vehicle via its battery.
The vehicle was mostly running at a steady speed, but there was also a varying load of several starts/stops.
This shows that using a battery between the load and Ecat worked excellently.
I believe that you must build on this experience.
My suggestion is that Ecat for residential use to be equipped with a small “power buffer bank” in the form of a battery, preferably one with properties that a supercapacitor has, or together with a supercapacitor.
This will mean that Ecat becomes a “baseload” that is spared from the rapidly occurring energy peaks that occur especially when various household appliances are started.
The battery, possibly combined with a supercapacitor, becomes a solution where storage capacity and thus battery costs are “minimized to the maximum”.
The most favorable thing for the energy user is to invest as much money as possible in the “baseload”: Ecat.
Here there is a big difference from the use of solar cells where storage capacity for a week of gray weather is desirable.
Since most permanent homes are connected to an electricity network, sharing here becomes a key societal task. Finding solutions that make the network more efficient and secure, will be well received by both users and those politically responsible in the individual countries.
Lower network load opens up for more users.
The fact that homeowners can acquire a “backup generator” that also functions as a primary source with a favorable energyprice will make marketing very easy.
Finding a regulation solution where the battery is primarily supplied from the home’s Ecat and secondarily receives or supplies the network if there is a deficit/surplus in the home, should be a great task for a creative and active expert like my network colleague Axil!
The fact that Ecat electricity is 100% green energy, will also make maximizing its use attractive.
In many countries, public subsidies are now given for example for heat pumps that reduce energy use and the load on the electricity grid.
This should be achieved to a greater extent by installing Ecat in homes.
Dear Dr Rossi
Do you have any indication of the phyical size of a complete system of say 100kw, 500kw and 1mw in relation to shipping containers. E.g Will 1Mw of Ecat it into a 20 foot container.There will be no need for inverters, BESS and transformers as I have those products already designed. Currently we can fit a 10Mwh battery with a SST( solid state transformer 11Kv with built in 800Vdc inverter) which will all fit into a 40 foot container.
Thank you
Dr Rossi,
You already explained that at the time when the Ecat will be introduced to the public probably within this year, it will be usable only for pure resistive loads: any kind of pure resistive loads ?
Ambrogio
The electric heating mats under floor panels are made of resistance wires.
Are able the E-cat NGU that generate electricity, to power the electric heating mats?
@lenr.wiki
I read your comment: very interesting,
Best Regards,
Ambrogio
Stephen,
Thank you for the information,
Warm Regards,
A.R.
Axil:
Thank you,
Warm Regards,
A.R.
The diode power accumulation process might be thought of as a buffer management process in software where a core process feeds data into a output function but when the data level is below a predetermined level, the disk is read to refill the buffer. But there is a difference, since two independent processes can access the battery: the vacuum energy accumulator and the supercapacitor when it reaches the full condition or when it requires recharge.
Since the battery generates heat when accessed, it is prudent to replace its function with a solid state battery. This store must be sized to minimize power flow to/from the battery.
Because supercapacitors have an initial state of zero volts, they act as a dead short-circuit upon immediate connection to a voltage source. If the unconditioned, erratic Extracted Vacuum Energy (EVE) is used to directly charge an empty supercapacitor bank, the massive inrush current step will instantly pull down the node, destabilize the internal diode aggregation, and cause an immediate system-wide drop-out or startup crash.
To break this loop without violating the low-thermal-signature constraint, the architecture integrates a Dual-Path Priming Relay Circuit backed by a low-capacity auxiliary battery. This layout functions exactly like a software buffer management pipeline, utilizing a physical battery as a slow-access “hard disk” to fill a high-speed supercapacitor “RAM cache” during critical supply anomalies.
The Pre-Emptive Operational Staging Loop
Phase 1: The Cold-Start “Disk Read” (Priming the Store)
Upon initial cold startup, before any bulk vacuum energy is allowed to flow toward the output hub, the 32-bit microcontroller brain (central 32-bit TI C2000 microprocessor brain) wakes up via the internal micro-power tap.
The Action: The controller detects that the supercapacitor buffer voltage is below the operational threshold (< 11.5 volts).
The Logic: It engages a low-current, current-limited charging path from the Auxiliary Battery. This path functions as a controlled "disk read," slowly feeding energy through a high-impedance protection circuit to prime the supercapacitors up to a rock-solid 12 volts DC.
Thermal Guard: Because batteries inherently generate internal chemical friction (ohmic heat) during charge and discharge cycles, this priming path is restricted to a low-current trickle (<=100 mamps). ensuring zero localized thermal signature on the motherboard.
Phase 2: Autonomous Handoff (The Fast Cache State)
The moment the supercapacitor bank reaches its full, primed condition (12 volts):
The Action: The microcontroller completely disconnects the auxiliary battery from the store using a solid-state isolation relay.
The Logic: The system enters a persistent cache state. The high-speed GaN H-Bridge Matrix is engaged. The fast-access supercapacitors now handle 100% of the dynamic, real-time load compensation and relaxation pulse smoothing.
Phase 3: The Independent Dual-Process Arbitration
Once active, two completely independent electronic processes are permitted to access the supercapacitor buffer network based on strict priority logic:
The Vacuum Energy Accumulator (Process A): Operates at
high frequency (500.000 cps), dumping irregular relaxation pulses into the supercapacitor array whenever the EVE spikes above. This keeps the reservoir constantly topped off entirely through solid-state, zero-heat electrostatic transfer.
The Battery Refresh Loop (Process B): If a prolonged, multi-second vacuum drop-out occurs, the supercapacitor level will drop below the safety floor (< 11 volts). Only then does the controller reconnect the battery path to "refill the buffer."
Because the supercapacitor bank is deliberately over-sized, the system holds enough electrostatic reserve to bridge standard drop-outs internally. This limits battery access to rare, worst-case anomalies, enforcing the sparing access rule to keep the board permanently cool.
Plain Language Functional Translation:
The Battery's True Job: The battery is not there to run the house; it acts like the starter motor in a car or a hard drive in a computer. An empty supercapacitor bank is a giant "empty tank" that would choke the system if we filled it too fast. We use a tiny drop of battery power to slowly fill that tank up to 12 volts before we turn the machine on.
The Sparing Rule (Heat Cop): Charging or draining a chemical battery makes it hot, and heat is fatal to the NGU diodes. To solve this, the smart computer brain cuts the battery out of the loop the exact microsecond the supercapacitors hit 12 volts.
The Big Bucket: We deliberately made the Supercapacitor Bank extra-large so it can act as the primary storage bucket. It catches all the erratic, choppy "flushes" of vacuum energy and smooths them out cleanly. The system only knocks on the battery's door as an absolute last resort if the vacuum goes completely quiet for a prolonged period, ensuring the board stays completely cool.
If permitted to continue, each level of the power store hierarchy is identified with optimum hardware in the next post.
Dear Andrea Rossi.
I came across this article today on lossless energy transfer at micro scale using Förster resonance energy transfer (FRET)and thought the technology perhaps its useful in some ways:
https://phys.org/news/2026-05-fundamental-limit-energy-particles.html?utm_source=flipboard&utm_content=topic/science
https://www.science.org/doi/10.1126/sciadv.adx2005
The technology looks interesting I think more generally too it’s a good example of the kind of breakthrough that can open up a lot of possibilities. It’s always nice to see that new things bringing new possibilities are always there I no the horizon I think.
Best Regards
Stephen
lern.wiki:
Thank you for your insight,
Warm Regards,
A.R.
= Vacuum Engineering and the Dissolution of Developmental Causality
== How the Synthesis of Entropic Quantum Generators and Computational Engineering Compresses Global Technological Evolution
=== The Thermodynamic Opening of the Vacuum: From Max Planck to Quantum Fluctuation
The historical trajectory of modern physics is inextricably linked to the progressive realization that empty space is not a physical nonentity. As early as the formulation of quantum theory, Max Planck modified the fundamental radiation formula and encountered a mathematical residual term that persists even at absolute zero temperature. This foundational energetic baseline, zero-point energy, marked the inception of a profound paradigm shift. Subsequent quantum field theory substantiated this insight both empirically and theoretically: the vacuum is a dynamic medium, a ceaselessly fluctuating field replete with virtual particle pairs and electromagnetic zero-point oscillations. It represents the ultimate energetic baseline of our universe, possessing a calculated energy density that defies traditional macroscopic scales.
For decades, this incomprehensible reservoir remained a theoretical curiosity of quantum mechanics, isolated within academic discourse and seemingly unreachable by practical engineering. The barrier to technological exploitation resided primarily in the Second Law of Thermodynamics, which, in its classical interpretation, prohibits the extraction of useful work from a system in thermal equilibrium. However, this mathematical restriction applies strictly only to closed systems. The quantum vacuum, by contrast, constitutes a thermodynamically open system of infinite capacity.
The key to harnessing this field does not lie in an impossible violation of thermodynamic laws, but rather in the establishment of an entropic pump. Such a system does not generate energy ex nihilo; instead, it shifts the system boundaries by inducing macroscopic quantum effects to extract coherence and order from the stochastic noise of the vacuum. By exporting local entropy, the omnipresent zero-point energy can be converted into directed, macroscopically usable electricity.
=== The Evolution of the E-Cat: The Principle of the Entropic Pump in Practice
The empirical validation that such a thermodynamic transformation is feasible is manifested in the decades-long development of the E-Cat system by Andrea Rossi. Beginning with the early phases of Low Energy Nuclear Reactions (LENR), the technology underwent a critical evolution away from classical chemical-nuclear explanatory models toward the pure utilization of quantum vacuum phenomena. The breakthrough of modern iterations, such as the E-Cat SKLep, rests upon the targeted manipulation of electron clusters and long-range particle interactions. Under specific geometric and electromagnetic conditions, charge carriers aggregate into coherent macroscopic clusters that interact strongly with the un-bounded modes of the zero-point energy field, enabling a resonant coupling.
The provisional zenith of this empirical validation was marked by the successful public demonstration of the E-Cat SKLep NGU in Latina in 2024. The seamless integration of this compact generator into a commercial electric vehicle provided definitive proof of continuous, self-sustained power output under real-world operating conditions. Operating entirely without external energy input, the vehicle recharged its storage systems solely through the continuous conversion of the quantum vacuum while in motion. Latina demonstrated unequivocally that the phase of purely theoretical physical analysis is complete: the physical proof-of-concept for the entropic pump has been established.
Nevertheless, the subsequent attempt at global market entry laid bare the classic, seemingly insurmountable barrier of technological diffusion. While the underlying physical principle operates flawlessly in laboratory environments and dedicated prototypes, transitioning into industrial reality requires a fundamental adaptation to an infinite variety of application scenarios. Every technological ecosystem — whether a smartphone, an industrial heating plant, a drone, or a medical apparatus — imposes entirely unique constraints on geometry, voltage stability, thermal management, and transient behavior during load changes.
In classical engineering, this translates into decades of linear, trial-and-error development cycles. The physical laws governing the E-Cat must be recalibrated, experimentally validated, and optimized through protracted material testing for every single application. This systemic inertia forms the actual bottleneck that held the revolutionary potential of zero-point energy captive within the shackles of traditional developmental causality.
=== Computational Engineering and Algorithmic Liberation
At this precise vulnerability in industrial evolution, a radically new methodology intervenes, dissolving the dichotomy between physical theory and geometric manifestation: Computational Engineering, epitomized by generative software architectures such as LEAP 71’s Large Computational Engineering Model, Noyron. Rather than human engineers drawing CAD models based on empirical heuristics and evaluating them sequentially, such a system translates fundamental physical rules directly into executable computer code. Noyron functions as a cognitive bridge, transforming the mathematical expressions of fluid dynamics, electromagnetism, and thermodynamics into functional geometries.
The disruptive potential of this methodology is frequently oversimplified in public perception, mischaracterized as merely the fabrication of monolithic metallic structures, akin to the additive manufacturing of rocket engines. For the widespread deployment of quantum-mechanical energy conversion, however, this narrow view is insufficient. The technological reality of Noyron encompasses a far more sophisticated spectrum of additive processes that entirely erases the boundaries of traditional material separation:
* Simultaneous Multi-Material Synthesis: Advanced generative algorithms orchestrate sophisticated printing techniques that fuse disparate material classes within a single, uninterrupted manufacturing cycle. High-conductivity copper architectures for electromagnetic fields can thus be embedded directly into ferromagnetic steel housings — a principle currently being pioneered in the computational design of next-generation electric motor stators.
* Integrated 3D Electronics and Metamaterials: The software architecture is capable of embedding three-dimensional conductive paths, dielectric insulating layers, and functional semiconductor structures directly into the load-bearing hardware. No longer is a conventional printed circuit board bolted into a chassis; the chassis itself becomes the circuit and the electromagnetic waveguide.
* Functional Functionally Graded Materials: By commanding precise, voxel-level control over material composition during the solidification process, components can be synthesized with physical properties — such as thermal conductivity or permeability — that transition fluidly across the geometry to dissipate extreme transient voltages or thermal stresses without structural degradation.
When the precise physical rulebook of an entropic pump — the exact conditions for initiating the long-range particle interactions and the geometry of the E-Cat’s charge clustering — is implemented as an algorithmic parameter set within Noyron, the traditional development construct collapses. The software requires no lengthy physical experimentation to engineer a flawless thermal system, a perfectly shielded 3D circuit layout, or a resonance-optimized reactor core. The algorithm computes the physically correct multi-material architecture instantaneously, generating production-ready fabrication data for advanced 3D printing. The resulting hardware is no longer dictated by human experience, but emerges as a direct, mathematically immutable derivative of natural law.
=== The Dissolution of Developmental Causality: An Autocatalytic Transformation
The logical consequence of fusing inexhaustible quantum conversion (E-Cat) with algorithmic hardware synthesis (Noyron) is a radical rupture in the linear temporal structure of human progress. Historically, industrial revolutions unfolded across generations because factories required retooling, supply chains demanded restructuring, and labor forces necessitated extensive retraining. The exploitation of any novel energy source has invariably been a sluggish, multi-decade process of gradual substitution.
The symbiosis of the entropic pump and Computational Engineering dismantles this temporal causality. Once the algorithmic model of the E-Cat cell becomes universally accessible, the timeline from conceptualization to deployable hardware shrinks from years to mere minutes. An industrial enterprise no longer requires an in-house quantum physics research division; it simply inputs the desired performance metrics and form factors into the system, and the algorithm synthesizes the integrated, self-sustaining power supply in real time.
This triggers a simultaneous, multidimensional disruption that evades all conventional economic forecasting. It is not an isolated event shaking a single sector — as digitization once transformed photography — but a cascading, autocatalytic collapse of legacy infrastructure. Virtually in parallel, heating systems, maritime propulsion, aerospace structures, consumer electronics, and industrial manufacturing plants are decoupled from fuel and grid dependencies. Because the developmental threshold drops toward zero, these autonomous systems infiltrate every physical market with explosive velocity.
This dynamic unleashes an impact that transcends known historical waves of innovation. It breaches the global economy like an unpredictable, uncontrollable surge of fundamental extreme events, irreversibly obsolescing all economic models predicated on resource allocation, geopolitical power distribution, and centralized infrastructure. The confluence of an infinite, decentralized energy source and its immediate, universal formability via artificial intelligence compresses the evolution of human civilization. It catapults industrial infrastructure, without a transitional phase, into a new, thermodynamically open systemic state — one whose social and economic stability must be engineered on entirely new principles beyond scarcity and centralized distribution.
paul dodgshun:
Thank you for the information,
Warm Regards
A.R.
Electrical protection for NGUs in households[1:] in the UK:
This law and regulation would apply equally to NGUs generating ‘reverse power’ through inverters.
Microinverters can introduce smooth DC residual currents that blind Type AC and Type A devices.
A plug-top fuse offers no RCD protection at all.
Installing an NGU on a standard wall socket is not compliant with BS 7671. You may be uninsured, in breach of your tenancy agreement, and depending on circumstances, in breach of Part P of the Building Regulations.
Getting the law right is an on-going government project.
[1:] https://www.pluginsolarexplained.co.uk/is-plug-in-solar-legal-uk/
1: Regulation 551.7.2 — the generating set must be connected on the supply side of the consumer unit.
2: Regulation 551.7.2 — the generating set must be connected via its own dedicated circuit.
3: Regulation 551.7.1 — that dedicated circuit must be appropriately protected for the generating source.
Why a plug-in kit on a 13A socket fails all three:-
1: It sits on the load side of the consumer unit
2: A normal ring main or radial socket circuit is, by definition, downstream of the consumer unit, that’s the whole point of the consumer unit. A microinverter plugged into a wall socket therefore connects on the load side, not the supply side. That alone fails 551.7.2.
3: The ring main is not a dedicated circuit
Axil:
Thank you for the information,
Warm Regards,
A.R.
Steven Nicholes Karels,
Thank you for your opinion.
Please read again what I already wrote here about this issue. Anyway, to buy an Ecat will not be obligatory…
Warm Regards,
A.R.
Dear Andrea Rossi,
Assume the NGU heater is a space heater.
“Space heaters typically run for 4 to 8 hours a day. For safety and efficiency, it is generally recommended to use built-in timers and never leave them running unattended or while sleeping, though modern models with thermostats and auto-shutoff features can safely maintain steady temperatures.
Recommended Run Times
Daytime Use: 6 to 8 hours is standard if you are home, awake, and in the same room.
Overnight Use: It is not recommended to run a space heater all night due to fire risks. If needed, limit operation to 4 to 6 hours on a lower setting, using a timer.
Continuous Limits: Running a heater for more than a few hours at a time is generally discouraged unless it has advanced, trusted safety features.
Electricity & Costs (Based on a typical 1,500-watt heater)
Per Hour: Consumes 1.5 kWh. Assuming the national average electricity cost of roughly$0.18 USD per kWh, this costs about $0.27 USD per hour.
Daily: Running the heater for 8 hours uses 12 kW-hrs costing approximately $2.16 USD per day.
Monthly: Daily use can add anywhere from $50 USD to $69 USD to your monthly electric bill.”
Acquisition Cost: AR previously quoted $4 USD per Watt. For a 1,500 W, the heater would cost $6,000 USD.
If the average saving in electricity cost were $60 USD per month, then the breakeven period would be about 100 months or about 12 years.
Solid state supercapacitors are coming into their own. If a large capacity power store is needed to hold power as a replacement for a lithium ion battery, the solid state supercapacitor might be a good fit.
Industry Specification Breakdown
Feature
Standard Lithium-Ion Battery
Advanced LIC / Graphene Supercapacitor
Energy Capacity
High (150–260 Wh/kg)
Matched (Up to 150 Wh/kg via advanced composites)
however Off-the-shelf high-end graphene supercapacitors (like those from Skeleton Technologies) actually operate between 10 to 15 Wh/kg. They hold roughly 10 to 20 times less energy than a lithium-ion battery of the same weight. This low capacity might be an acceptable tradeoff against their other advantages.
Access Response Time
Slow (10 to 100 ms)
Sub-Microsecond
Thermal Profile
High heat under load (Fire Risk)
Cool running (Immune to thermal runaway) little to no heat produced
Cycle Life
500–3,000 cycles
500,000 to 1,000,000+ cycles
Self-Discharge Rate
Low (~1-2% per month)
High (~20-30% per month)
A solid-state supercapacitor is an excellent fit for the NU sense this application requires extreme speed, infinite lifetimes, and absolute safety against fires. However, the Self-Discharge Rate might need a work around if the NGU is idol over long periods of time. For example, a very small button chemical battery might need to be fielded to account for this long idol contingency
Steven Nicholes Karels:
1- Please read the many comments I wrote here during the last month regarding the kind and use of the Ecat generated electricity
2- The shape of the body will be disclosed at the public presentation
Warm Regards,
A.R.
Dear Andrea Rossi,
1- Just to confirm, your will be honoring the pre-orders for 100 W modules that output 12 VDC and approximately 8.34 AMPs?
2- Are the 100 W modules still in the cylinder shape?
Thank you.
Bartholomew:
No, we will contact all the Clients that sent us their pre-order form in order of date even if they pre-ordered 10 W modules, and offer them to turn the pre-orders into regular orders for 100 W modules: they will be free to confirm the order for 100 W modules, or cancel their pre-order without money changing pockets,
Warm Regards,
A.R.
But all the pre-orders for 10 W modules will be cancelled ?
Bartholomew
Bartholomew:
No
Dear Dr Andrea Rossi,
Will the 10 W modules also be shown during the presentation?
Thank you if you can answer,
Bartholomew
Dear Axil
I agree with your points presented on May 24, 2026 at 08:45.
Regards Svein
lenr.wiki:
Thank you for the link,
Warm Regards,
A.R.
The LEAP 71 video with English audio:
The End of CAD. How LEAP71 Is Recomputing the World
https://www.youtube.com/watch?v=sMFYIU20C2o
Marco:
We will proceed uniformly,
Warm Regards,
A.R.
Gentile sig.Rossi buongiorno ben ritrovato e complimenti per il vostro interessante lavoro.
Per una eventuale presentazione del prodotto entro questo stesso anno direi siamo a metà del guado..ne deduco siate in autentico fermento. consapevoli sia un traguardo piu che importante.
Posso chiedere se nello specifico siate indirizzati in una sezione particolare come priorità o se procedete in maniera uniforme verso questa imminente presentazione?
ENGLISH SYNOPSIS
DO YOU HAVE MARKET PRIORITIES OR YOU WILL PROCEED UNIFORMLY ?
Elizabeth:
1- yes
2- the pre-payment is necessary to avoid bankrupcy, as every intelligent person can understand
Warm Regards,
A.R.
@2026-05-23 12:14 lenr.wiki
Neuron is a specialized computer program that programmers and engineers have spent years perfecting. It is in the class of software such as chess programs and TurboTax for tax preparation. Many man-years of effort in design goes in up front in this type of software. Flexibility is added to encompass a range of applications where a specification drives the program’s execution.
There are systems that can build houses based on a specification for that house using extruded cement construction methods.
The NGU is a candidate for such an automated power system design system that has sufficient flexibility to configure a power system for many types of applications such as cars, boats, ships, planes, drones, Internal Combustion Generators, Chemical Battery Systems, Home power, Fossil Fuel Power Plants.
Just Fossil Fuel, and Power Plan replacement requires a wide range of flexibility: gas, coal, nuclear, wind, solar, and hydro.
Just load the specification into the NGU configuration program and out comes a new power system in minutes that include the build directions and internal NGU control programming. The build order automatically orders components, manufactures the system and loads the software, packages the system for delivery, provides the operating procedures, and site configuration.
With many millions of such systems that must be replaced, automation is a requirement.
@2026-05-23 13:13 lenr.wiki
Re: E-Cat and LEAP 71
There is no replacement for human experience. The AI must be constrained by tight guardrails so that the AI does not specify something that is unworkable.
The AI must not describe a system that is not comprehensible to a human. If a system is incomprehensible, it cannot be debugged. The human must understand in detail every aspect of the AI generated system.
The AI must follow a system of explanation about the details of the system design that teaches the user what the AI is doing and/or wants to do.
There also must be a general master systems design with its own layer of constraints and measures. I have been thinking about how the NGU could be configurable to meet the needs of the widest ranges of future energy applications. That vision would be a guardrail for AI system design. But that master plan is a group effort where many humans contribute to that plan in a process of give and take experience sharing.
There is also a requirement honed through human experience to know when to constrain a concept or to provide a prudent degree of flexibility.
There is also the issue of designing the transition plan between what now exists to what the final goal is envisioned to be. This includes how to incorporate new technology into the master plan as time goes on.
Artificial General Intelligence (AGI) is a hypothetical form of AI that matches or exceeds human-level cognitive abilities, allowing it to learn, reason, and solve problems across any intellectual domain without specialized retraining. Unlike today’s narrow AI—which excels only at specific tasks like generating text or playing chess—an AGI would possess human-like adaptability, common sense, and the efficiency to learn entirely new skills on its own.
AGI means is to simulate Leonardo De Vinci to imagine what could be and how best to get there.
Until that AGI time, great care must be followed in directing the AI to follow the human plan even with its imperfections in every detail.
@Jean Paul Renoir,
I totally agree with your comment; by the way: the 60% of energy demand in the world is to make heat, industrial and household,
Cheers
Karen
Dr Rossi:
1- I understand that after the public presentation of the Ecat, all the persons that sent pre-orders will be contacted day by day, not all at once, therefore it will take months before the waiting list will be totally served, correct ?
2- the persons that will turn the non binding pre-order into a regular order wull have to prepay the Ecats ?
Thank you if you can answer,
Elizabeth
Jean Paul Renoir:
Yes,
Warm Regards,
A.R.
Frank Acland:
1- yes
2- at the time of the public presentation; at that point all the persons that sent the pre-order forms will be contacted and will be free to decide if to turn the pre-orders into a regular order, or cancel the pre-orders WITHOUT MONEY CHANGING HANDS,
Warm Regards,
A.R.
lenr.wiki:
Again thank you for your information,
Warm Regards,
A.R.
lenr.wiki:
Thank you for the information,
Warm Regards,
A.R.
E-Cat and LEAP 71:
The convergence of computational engineering and advanced energy concepts may eventually represent one of the most profound technological turning points in modern history. If one assumes that systems such as the E-Cat are indeed capable of coupling to the quantum vacuum — or more specifically to the Zero-Point Energy Field — through some form of entropic pumping mechanism, then entirely new engineering methodologies may become necessary to fully unlock their potential. In this context, the work of LEAP 71 becomes extraordinarily relevant.
LEAP 71 is not merely another artificial intelligence company. Its significance lies in the attempt to fundamentally redefine the engineering process itself. Instead of manually designing machines using conventional CAD methodologies, LEAP 71 employs a form of computational engineering in which physical laws, thermodynamic constraints, material properties, and energy-flow conditions are encoded algorithmically. The machine geometry is then generated autonomously by the computational system.
This distinction is crucial. Traditional engineering is largely based on human intuition, experience, and geometrically manageable structures. Human engineers tend to design systems that are symmetrical, linear, visually comprehensible, and conceptually intuitive. However, highly complex energetic interactions — especially those potentially involving resonance phenomena, non-equilibrium thermodynamics, coherent quantum states, or vacuum-field coupling — may not produce optimal structures that are intuitive to the human mind.
If the E-Cat principle truly depends upon subtle interactions between:
* entropy gradients,
* resonant electromagnetic fields,
* vacuum fluctuations,
* coherent oscillatory states,
* nanoscale surface effects,
* dynamic thermal instabilities,
* or metastable energy configurations,
then the optimal architecture of such a system may be extraordinarily complex and potentially beyond the practical design capabilities of conventional engineering approaches.
This is precisely where computational engineering systems such as LEAP 71 could become revolutionary.
Instead of designing a reactor directly, engineers would define the governing physical objectives and constraints:
* maximize coherent field interaction,
* stabilize non-equilibrium states,
* optimize entropy gradients,
* amplify resonance coupling,
* control thermal self-organization,
* or maximize energy extraction efficiency.
The computational system would then autonomously search through immense multidimensional parameter spaces, generating geometries that no human engineer would likely ever conceive manually.
Such structures could include:
* fractal resonator networks,
* biologically inspired energy-channel architectures,
* multi-scale cavity systems,
* gradient-optimized metamaterials,
* self-stabilizing thermodynamic regions,
* highly non-linear waveguide geometries,
* or dynamically coupled resonance lattices.
Importantly, many of these structures would probably appear chaotic, asymmetric, or even irrational from a classical engineering perspective. Yet evolution itself demonstrates that highly optimized systems are often neither simple nor intuitively understandable.
Nature does not design with human aesthetics in mind.
It optimizes function through immense iterative exploration.
Computational engineering effectively attempts to reproduce this principle technologically.
The implications become even more significant when combined with modern additive manufacturing technologies such as high-precision metal 3D printing. Conventional manufacturing imposes severe limitations on geometry complexity. But additive manufacturing allows the direct physical realization of computationally generated structures that would previously have been impossible to fabricate.
This combination — generative physics-based design plus advanced additive manufacturing — may eventually enable entirely new classes of energy systems.
One can therefore envision a future in which Zero-Point Energy systems are not “invented” in the traditional sense, but rather computationally evolved.
In such a paradigm, the role of the engineer changes fundamentally:
the engineer no longer designs the machine itself, but instead defines the physical rules from which the machine emerges.
That shift may represent one of the deepest transformations in the history of engineering.
Instead of:
“We build machines.”
the future may become:
“We cultivate emergent physical systems.”
If technologies such as the E-Cat ultimately prove capable of stable interaction with the Zero-Point Energy Field, then computational engineering platforms like LEAP 71 may become uniquely suited to discovering the extraordinarily subtle and highly non-intuitive geometries required for efficient operation.
The true revolution may therefore not simply be Zero-Point Energy itself.
The greater revolution could be the emergence of machine intelligence capable of discovering entirely new classes of physical structures beyond unaided human imagination.
https://www.youtube.com/watch?v=1gpLoudrp_g
This video may document one of the most radical technological breakthroughs in modern engineering history: a company consisting of only two people is developing fully functional rocket engines within just a few weeks — including Aerospike engines that even major aerospace corporations and national space agencies have struggled with for decades. What is being presented here is not merely “better software,” but potentially a complete transformation of engineering itself, where expert-level physics and design knowledge are encoded into deterministic computational systems capable of autonomously generating real high-performance hardware. If this approach proves scalable and reliable, LEAP 71 could reduce development cycles for complex technologies from years to weeks, with massive implications for spaceflight, energy systems, aviation, medical engineering, industrial manufacturing, and virtually every advanced technology sector. What makes the story even more extraordinary is that this is not emerging from a billion-dollar government program, but from a small office in Dubai already producing hardware that would have been considered nearly impossible only a few years ago. Anyone who wants to understand what the next industrial revolution may look like should watch this video immediately: https://www.youtube.com/watch?v=1gpLoudrp_g (english subtitles are available).
Dr Andrea Rossi,
Beyond any possible doubt, the delivery of an electric generator that with the Joule effect obtains a high overunit is in itself one of the most important inventions of the last 100 years, but…
are you and your Team still working to succeed to obtain the self sustained mode ?
Ad majora !
JPR
Dear Andrea,
1. Will the public presentation mark the start of the deliveries to those who have already placed pre-orders?
2. When will the specifications and prices of the household heating E-Cat products be published?
Many thanks,
Frank Acland
Giannino Ferro Casagrande:
Thank you for your support.
After the public presentation we will deliver the Ecats along the dates of the received pre-order forms,
Warm Regards,
A.R.
CARO ANDREA SO CHE A BREVE CONSEGNERETE GLI ECAT POTREI PER CORTESIA ESSERE UNO TRA I PRIMI AD AVERE GLI ECAT ! ANCHE SUBITO QUALCHE PEZZO ! COSI’ SI FACILITANO LE CONSEGNE ! GRAZIE !
ENGLISH synopsis:
Can I receive at once, before the public demonstration an Ecat ?
Svein:
Thank you for your new suggestions,
Warm Regards,
A.R.
Dear Andrea
I thank you for your positive response to consider my suggestions until the global presentation comes.
In my last 3 posts in JoNP there are suggestions on how Ecat can be used in homes and integrated into our electricity networks.
Here I have taken as a starting point the demonstration in Latina, which is the only one from which there are minutes.
Here the demonstration was successful in powering an EV by Ecat supplying energy to the vehicle via its battery.
The vehicle was mostly running at a steady speed, but there was also a varying load of several starts/stops.
This shows that using a battery between the load and Ecat worked excellently.
I believe that you must build on this experience.
My suggestion is that Ecat for residential use to be equipped with a small “power buffer bank” in the form of a battery, preferably one with properties that a supercapacitor has, or together with a supercapacitor.
This will mean that Ecat becomes a “baseload” that is spared from the rapidly occurring energy peaks that occur especially when various household appliances are started.
The battery, possibly combined with a supercapacitor, becomes a solution where storage capacity and thus battery costs are “minimized to the maximum”.
The most favorable thing for the energy user is to invest as much money as possible in the “baseload”: Ecat.
Here there is a big difference from the use of solar cells where storage capacity for a week of gray weather is desirable.
Since most permanent homes are connected to an electricity network, sharing here becomes a key societal task. Finding solutions that make the network more efficient and secure, will be well received by both users and those politically responsible in the individual countries.
Lower network load opens up for more users.
The fact that homeowners can acquire a “backup generator” that also functions as a primary source with a favorable energyprice will make marketing very easy.
Finding a regulation solution where the battery is primarily supplied from the home’s Ecat and secondarily receives or supplies the network if there is a deficit/surplus in the home, should be a great task for a creative and active expert like my network colleague Axil!
The fact that Ecat electricity is 100% green energy, will also make maximizing its use attractive.
In many countries, public subsidies are now given for example for heat pumps that reduce energy use and the load on the electricity grid.
This should be achieved to a greater extent by installing Ecat in homes.
Regards Svein
Ambrogio:
Yes,
Warm Regards,
A.R.
Emmanuel Cilia:
The datasheet od the Ecat will be disclosed at the presentation,
Warm Regards,
A.R.
Dear Dr Rossi
Do you have any indication of the phyical size of a complete system of say 100kw, 500kw and 1mw in relation to shipping containers. E.g Will 1Mw of Ecat it into a 20 foot container.There will be no need for inverters, BESS and transformers as I have those products already designed. Currently we can fit a 10Mwh battery with a SST( solid state transformer 11Kv with built in 800Vdc inverter) which will all fit into a 40 foot container.
Thank you
Dr Rossi,
You already explained that at the time when the Ecat will be introduced to the public probably within this year, it will be usable only for pure resistive loads: any kind of pure resistive loads ?
Ambrogio
Jaroslaw Bem:
I think yes, but has to be experimented,
Warm Regards,
A.R.
Dear Dr. Rossi,
The electric heating mats under floor panels are made of resistance wires.
Are able the E-cat NGU that generate electricity, to power the electric heating mats?
Best Regards,
Jaroslaw Bem
Energy User:
The module will be 100 W, any aggregate assembly is possible,
Warm Regards,
A.R.
Svein:
Thank you for the suggestions; I cannot answer now, this information will be given at the presentation,
Warm Regards,
A.R.
Frank Acland:
Typical off the shelf,
Warm Regards,
A.R.