MatterGen is a diffusion model built for materials discovery published by Microsoft, trained on materials datasets Alexandria, ICSD (licensed data so it isn't publicly released), and Materials Project

Notes from ML prediction of Curie temperature paper

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.

Experimenting with MatterGen and New Denoising Rewards

MatterGen employs a diffusion-based approach for crystal structure generation, utilizing classifier-free guidance to steer the generation process. The core of our modifications centers on the Property

Planning a magnet property prediction model

We're starting to be able to generate some decent, better permanent magnet candidates. The next step in a end-to-end pipeline would be to quickly calculate the full set of relevant magnet properties s