@mmoderwell

We are collecting sources to build a dataset for magnetocrystalline anisotropy energy (MAE), which we plan to use as the next predictive model target after Curie temperature and magnetic moment. MAE is important for understanding how hard a magnet is to demagnetize, a key factor in permanent magnet design. The sources include open databases like Novamag and NovoMag, both aiming at rare-earth free or lean magnets and offering data such as MAE, saturation magnetization, Curie temperature, and crystal structures (CIF files). Other materials databases mentioned are NEMAD, MAGNDATA, and the North East Materials Database, which provide varying levels of magnetic property data and structural information. The goal is to gather existing datasets, bring them together, and create a more complete MAE resource, while noting useful tools and potential limitations in data availability and download access.

Big updates to share with everyone:

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:

In our exploration of magnetic materials, we did some embedding via Orb v2 and some dimensionality reduction.

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

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.

In this post I'll share some of the work I've been doing on a Curie temperature prediction model. I finally found a decent dataset to work with. More on that here:

New MLIP model on the leaderboards! Currently #2 with an F1 score of 0.884. Congrats to the team. They provide a few pre-trained models as well as a ASE calculator for MD. Great stuff. It's a graph ne

Sharing some notes as I read this paper. I uploaded it here for reference. I came across it looking for a Curie temperature dataset and so far this has been the best I've found so far.

See the little gold check near my name? That's our Gold membership! Really excited to share this one with you guys. Gold is a $5 / month subscription that unlocks monetization features on the platform