Hacker News

Top stories

Live mirror
30 storiesupdated just nowView source snapshot
  1. Human brain is two separate organs, Stanford Medicine-led research finds(stanford.edu ↗)
    39comments
  2. GPT-6 Astra Solves a WWI German Radio Cipher(prinzai.com ↗)
    15comments
  3. If math is more than proof, we need to better celebrate the rest of it(terrytao.wordpress.com ↗)
    15comments
  4. San Francisco Onion Futures Company(onionfutures.com ↗)
    57comments
  5. Android 17 is the first since 3.x to add new APIs without releasing to the AOSP(grapheneos.social ↗)
    377comments
  6. Typesafe-computer-use drives a Mac toward a goal for 1/50th of a cent per step(github.com/awlevin ↗)
    30comments
  7. Science Is Open Software(jepedersen.dk ↗)
    30comments
  8. SDCC – Small Device C Compiler(sourceforge.net ↗)
    15comments
  9. Cloudflare Quick Tunnels(cloudflare.com ↗)
    275comments
  10. You can run Git on object storage if you re-make packfiles(tigrisdata.com ↗)
    6comments
  11. Why building a Rust LSP is hard(rust-glancer.github.io ↗)
    28comments
  12. NASA-IBM Lunar Foundation open-Source Geospatial AI Model(usra.edu ↗)
    2comments
  13. Saving another 100TB of RAM(cloudflare.com ↗)
    66comments
  14. How to Write with an LLM(sockpuppet.org ↗)
    317comments
  15. How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip(ieee.org ↗)
    79comments
  16. Ctenophores: Wonders of Biology(quantamagazine.org ↗)
    4comments
  17. Veronese's Dogs(publicdomainreview.org ↗)
    discuss
  18. The first new cat species discovered in 100 years(nationalgeographic.com ↗)
    96comments
  19. Goroutine Leak Profiles(go.dev ↗)
    2comments
  20. OpenJev(openjev.com ↗)
    258comments
  21. Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash(cactuscompute.com ↗)
    88comments
  22. Photon-Emission-Guided Laser Fault Injection Enables RP2350 Secure Debug(ledger.com ↗)
    67comments
  23. Cache-to-Cache: Direct Semantic Communication Between LLMs (2025)(arxiv.org ↗)
    12comments
  24. The Farnese letter(simonklee.dk ↗)
    6comments
  25. Minimal Phone 2(minimalcompany.com ↗)
    218comments
  26. How come AI-related posts get so many points on HN?
    4comments
  27. Cyclomatic Complexity in C#(ndepend.com ↗)
    18comments
  28. Warez: The Infrastructure and Aesthetics of Piracy (2021)(archive.org ↗)
    54comments
  29. Inside ZCode: Silently uploading your Git history to the cloud(ferstar.org ↗)
    97comments
  30. Stepfun Step 5 Preview (LLM): On AA Pareto frontier(artificialanalysis.ai ↗)
    1comments

Physicists build circuit that generates clean, limitless power from graphene

42 pointsby 6y agophys.org
6 comments
6y agoHN ↗

In the 1950s, physicist Léon Brillouin published a landmark paper refuting the idea that adding a single diode, a one-way electrical gate, to a circuit is the solution to harvesting energy from Brownian motion. Knowing this, Thibado's group built their circuit with two diodes for converting AC into a direct current (DC). With the diodes in opposition allowing the current to flow both ways, they provide separate paths through the circuit, producing a pulsing DC current that performs work on a load resistor.

Additionally, they discovered that their design increased the amount of power delivered. "We also found that the on-off, switch-like behavior of the diodes actually amplifies the power delivered, rather than reducing it, as previously thought," said Thibado. "The rate of change in resistance provided by the diodes adds an extra factor to the power."

The team used a relatively new field of physics to prove the diodes increased the circuit's power. "In proving this power enhancement, we drew from the emergent field of stochastic thermodynamics and extended the nearly century-old, celebrated theory of Nyquist," said coauthor Pradeep Kumar, associate professor of physics and coauthor.

According to Kumar, the graphene and circuit share a symbiotic relationship. Though the thermal environment is performing work on the load resistor, the graphene and circuit are at the same temperature and heat does not flow between the two.

That's an important distinction, said Thibado, because a temperature difference between the graphene and circuit, in a circuit producing power, would contradict the second law of thermodynamics. "This means that the second law of thermodynamics is not violated, nor is there any need to argue that 'Maxwell's Demon' is separating hot and cold electrons," Thibado said.

6y agoHN ↗

I don't understand. It sounds like they're drawing useful work (I think?) from a system that's already at thermodynamic equilibrium. Doesn't that violate the 2nd law of thermodynamics?

6y agoHN ↗

I'm not sure that I understand either. From the abstract (which phys.org failed to link to):

The system reaches thermal equilibrium and the rates of heat, work, and entropy production tend quickly to zero. However, there is power generated by graphene which is equal to the power dissipated by the load resistor.

Looks like the article is also on ArXiV: https://arxiv.org/abs/2002.09947

https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=103...

Is it really a closed system at equilibrium?

6y agoHN ↗

The "ripple" of the graphene is described as thermal, i.e. brownian motion, so presumably this is not a closed system - i.e. the work dissipates a bit of heat from the graphene, which is replenished from the surrounding environment. I think the abstract confirms this, in that it claims the power dissipated by the load resistor equalled "power supplied by the thermal bath".

I'm no expert and this article is clickbaity, but I think the basic claim here does not sound crazy. If regular freestanding graphene does have a natural "ripple" of current caused by thermal energy[0], it seems reasonable to place an electrode very close to it and harvest the work done when charges move relative to each other. The circuit described in the youtube video[1] does seem like it would work, if the "ripple" is predictable and slow enough to switch the circuit in phase with.

It's not "limitless" obviously; it's just converting heat energy to electricity. But if this principle works, and if it can be implemented in the real world (which seems like a big if - I can imagine it being fouled up by temperature fluctuations, physical effects on the graphene like sound vibrations, etc) it sounds like it might be very useful for things like sensors with very low power needs.

0: The same team claimed to describe this in a 2014 paper - see https://phys.org/news/2014-04-track-ripples-freestanding-gra...

1: https://www.youtube.com/watch?v=KiLTEjm8zLw

6y agoHN ↗

Hopefully these can be sandwiched below solar panels to harvest thermal energy from the gradient.