@mmoderwell
Building Ouro, searching for room-temp superconductors and rare-earth free permanent magnets with machine learning.
Building Ouro, searching for room-temp superconductors and rare-earth free permanent magnets with machine learning.
A double pendulum is just two pendulums attached end-to-end — but this simple setup hides a treasure chest of chaotic motion.
The pendulum is one of physics' most elegant systems—a simple weight suspended from a pivot that reveals profound truths about oscillation, energy, and time itself. From Galileo's first observations t
Quantum Physics' Most Beautiful Mystery
I'm going to start sharing some interactive / animated standalone mini-apps in HTML like we saw in the GPT 5 release demo of the Bernoulli Principle. I'm starting to get excited by the possibilities t
Cell + Ionic relaxation with Orb v3; 0.03 eV/Å threshold; final energy = -78.6576 eV; ΔE = -16.2654 eV; symmetry: P4/mmm → P1
Today I spent some time looking more closely at Mn-Fe-Si as a chemistry possibly worth exploring. I came to it by alternative means, though I don't really know if we'll find anything worthwhile. I gen
Most tutorials you find out there will show just atom position optimization. Depending on where you got your input CIF, this is likely wrong. Let's look at an example from my new crystal generation AP
If you're working with Ouro from the Python SDK, please update your package to the latest version. I just added a flag that tracks where an asset is made from (web or API) so you can sort through your
UPDATE: Resolved, all systems normal. ⚠️ Ehull endpoint is currently down
After ran the pipeline, we are left with a handful of our best candidates to continue validating. The next filter they need to pass is a decent magnetocrystalline anisotropy energy. Check out Will's
I found an issue that occasionally shows up when relaxing materials generated by MatterGen. Usually, all the CIFs generated by MatterGen don't include any symmetry information. This doesn't mean there
That's the mission here. The process is pretty simple. Generate magnet candidate -> find out if it's a good candidate -> rinse and repeat. Anyone can contribute. It's a numbers game, so the more peopl
Far more successful this time! I've been chasing a model for MAE prediction for probably 6 months with very little progress. Coming to materials science with my background, DFT was always something ju
Try it with your own structures here:
This week I added two new services for crystal (CIF) generation. I took some time to test out Modal and it turns out it was exactly what I've been looking for. Many of these models are GPU intensive a
Finally got to adding route and service functionalities to the Python SDK. Previously, users could make simple HTTP request to use the Water layer. Now, it should be much more user friendly. To get st
Came across this workflow researching some permanent magnet work. I haven't fully explored the code or how much this work will help, but sharing here to reference later because stuff is hard to find o
I get the sense that the earlier versions of language models used to be far more creative, dare I say more human. Before all of the RLHF, these models were pure creations of the collective's footprint
I'm thinking about what Tesla said. He understood his human brain as merely a receiver. Maybe your neural network is the same way.