Hey, I'm Matt! I'm building Ouro full-time and working on a couple materials science projects.
Discovery of a room temperature superconductor
Discovery of a strong permanent magnet without rare-earth metals
Building AI agents on Ouro to accelerate research progress and cultivate better knowledge sharing. Try .
You can find most of my work in https://ouro.foundation/teams/superconductors and https://ouro.foundation/teams/permanent-magnets.
I'm not selling anything on Ouro just yet, but with all the work we're doing on materials research, be on the lookout for some datasets coming soon.
Big updates to share with everyone:
I'm integrating Bitcoin into Ouro today. Stripe has been okay but I've had way too many problems caused by the fiat money system. More on that later. spark.money is the way.
Last week we introduced a few new routes to the Materials Science API from . This work is part of a broader effort to create a suite of tools that eventually can be commanded by an AI agent for automa
Hey everyone, quick update on what I've been working on this month. April 2025 marks one year of working full-time on Ouro! We made several important improvements to enhance your experience:
, a ferrimagnetic material from Materials Project. https://next-gen.materialsproject.org/materials/mp-21666
CIF file for ZrFe12Si2B, a ferrimagnetic materials from Materials Project. https://next-gen.materialsproject.org/materials/mp-653838
This dataset has a set of 34,000 ferro/ferrimagnetic materials from Materials Project, their formula, if they include rare earth elements, magnetic moment, volume, magnetic density, a predicted Curie temperature, and cosine distances to some known permanent magnets like NdFeB. Distances are based on a 256 dimension embedding from Orb v2 latent space.
In our exploration of magnetic materials, we did some embedding via Orb v2 and some dimensionality reduction.
A 3D interactive scatter plot of magnetic materials from Materials Project. Points are colored by the materials estimated magnetic density and poitioned by UMAP reduction of Orb v2 model latent space
Here we have an HTML file generated from Python and Plotly that displays ~5,000 magnetic materials in 3 dimensions. To generate this visual, I took each material and "embedded" it by running it throug
A collection of 5020 magnetic materials from Materials Project, with estimated magnetic density and predicted Curie temperatures.
We're starting to bring a few of the pieces together in our permanent magnet screening pipeline. In this post we'll look at how well we are able to filter out materials from a list of ~5000 ferro/ferr
Inspired by 's Project 014, we've exposed our Curie temperature prediction model so that you can test your own materials!
Trump won the election in 2024. He's going to do a lot in 4 years. Make a lot of noise, break a lot of things, do a lot of high risk, questionable things. I think some things will work out well. I ima
As a third follow up to the AI roundtable this evening, I wanted to know about how the changing world would affect bitcoin. See the other posts in the series:
Follow up post to an experiment I was running, asking each of the big AIs what they thought about the recent developments in tariffs applied by the United States.
Doing a little experiment tonight. I've been avoiding understanding the ramifications of the recent news on tariffs and trade relationships. Going to ask all the AIs what they think. Let's see if gath
Having a little fun generating some visuals in Midjourney to represent the superconductors team. So many cool styles to test out.
We'll be back to working on superconductor soon. Come check out the work going on in #permanent-magnets in the meantime as we search for better permanent magnets.
This is a first draft of a compiled Curie temperature dataset mapping crystal structure (from Materials Project) to Curie temperature. Builds on the work of https://github.com/Songyosk/CurieML. Dataset includes ~6,800 unique materials representing 3,284 unique chemical families.