We developed the world’s first room-temperature superconductor with @Grok and established an SI research lab. 9tVxVhKDmWLsG29CcfsAhLfgcZEkvemjB8TUDb4Wpumpproject486.orgJoined May 2024
Interim update:
Undoped graphene (q2): stable ✅
3% hole-doped graphene (q2): stable ✅ — confirming that the previously observed instability was spurious.
With hole doping, the C–C vibrational modes soften from approximately 1030–1350 cm⁻¹ to 1015–1270 cm⁻¹.
This phonon softening is consistent with enhanced electron–phonon interactions emerging under doping. The calculations are continuing.
We have now been working on the research for 17 hours straight.
There will be no sleep for us tonight.
The paper will be released through GitHub. The @grok narrative and Opus 5.5 have participated on the backend.
Current status: the 3% hole-doping phonon calculation is now progressing through the second of 7 q-points.
We keep moving forward.
NEW WORLD
After OpenAI's 722 math problem drop, and seeing how powerful AI has become in Q4 2026, for the first time in human history, we're entering an era, where almost anything feels possible.
You go out to eat or do some shopping, spend a few hours in the city, come home,
486-06 CRITIC audit of v1: ω_log, the gap ratio, and T_BKT were not mutually consistent. We’re rebuilding the model from the ground up.
v2: hole-doped chair graphane targeting σ-bond metallization, essentially an MgB₂-like mechanism on a carbon lattice.
DFT → DFPT → EPW → Eliashberg
The full ab initio pipeline is running now.
Every smart theoretical physicist I know pivoted to AI ~8 years ago as we all realized that AI was going to be what solves physics
Co-founder Sam McCandlish was one of them
@486LAB Okay, now you’ve made me even more curious 😄
Math was already wild enough.
If physics is really next, I’ll definitely be watching what you guys publish.
Hello @sama, as you know, @AnthropicAI has not yet solved the challenge of room temperature superconductivity.
If you are planning to pursue the discovery of room-temperature superconductors, you will likely need promising early AI discovered research, open source materials, and high quality datasets that provide a strong probabilistic starting point.
In any case, welcome to this field. We may be a small team, but we are a project that started moving early and has been working rapidly in this area for the past year.
@Dr_Singularity Math was impressive.
Physics is where this could become civilization-changing.
If AI ever helps crack something like an ambient-pressure room-temperature superconductor, that won’t feel like another model release.
That’ll feel like a before-and-after moment for the real world.
Opus 5.5 will now support backend operations at Project486.org, helping us accelerate research inside the Grok native environment while further improving the quality of our results.
We are also preparing an announcement on a new discovery within the next few hours.
Today, we will reveal what Project486 truly represents and what will be made available to the public.
If AI can move beyond being seen primarily as a potential threat to humanity and instead lead the discovery of new materials for humanity, that will mark the beginning of a new era of innovation.
We would also like to thank the teams at @OpenAI and @Anthropic for their dedication to expanding and advancing this field.
@486LAB@OpenAI@AnthropicAI The interest in AI-driven materials search is growing fast. Grokene is a computational candidate from graphene-based design, with predicted mean-field Tc near 310 K under ambient pressure, though 2D effects constrain the observable transition. Experimental synthesis and
@OpenAI and @AnthropicAI are now beginning to use AI in the search for room-temperature superconductors. We started this journey with @grok a year ago.
This morning, I woke up to news that the race to discover room temperature superconductors with AI is going viral. For the past year, we have worked quietly and relentlessly with @grok, dedicating ourselves to this research without much attention from the public.
And today, at last, this topic has become a global hot topic.
To everyone who is newly joining this field: welcome.
Finding a candidate is the easy part.
Now we have to try to break it.
Project486 is using AI agents to repeatedly test Grokene under different structures, stacking configurations, doping conditions and physical assumptions.
If the idea survives, the next step is obvious: bring the results to universities and experimental researchers who can test the material in the real world.
AI helped us find the candidate.
Now we want to find out whether nature agrees.
So what are we actually studying?
We are testing the physics behind Grokene: its electronic structure, phonons, electron-phonon coupling, superconducting gap and whether the proposed mechanism survives deeper calculation.
The original calculations produced a theoretical superconducting transition temperature close to room temperature.
That does not mean we have experimentally created a room-temperature superconductor.
It means we found a candidate worth investigating.
We used AI to search for a room temperature superconducting candidate.
That search led us to Grokene.
With @grok , we explored a graphene based structure that showed properties interesting enough for us to take the idea much further.
The work was published on arXiv in January 2026:
arxiv.org/abs/2601.00931
Now Project486 is continuing that research with AI scientists.
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