Excited to share OMat24 - the latest dataset to join our team's family of open datasets: OC20, OC22, ODAC23 Accelerating progress in the field should be a community effort. Without access to large, diverse datasets this becomes increasingly prohibitive. We hope OMat helps!

What an incredible resource for the community! While Google and Microsoft report on closed-source models trained on closed-source data, FAIR Chemistry continues to deliver invaluable world-leading open-source resources that push ML for chemistry and materials forward for everyone

Proud to be part of the team with a mission to open source science. Can’t wait to see what the community build with this 🚀🚀

One of the largest materials datasets and SOTA ML potentials are open-sourced by FAIR Chemistry. Immensely proud to be part of the team that delivers open science and catalyzes community involvement and advances in this field. x.com/OpenCatalyst/s…

Our team at FAIR is looking for research interns in 2025. We work on a range of AI for chemistry topics from applied projects to machine learning potentials and generative models. If you are interested please apply and don’t hesitate to reach out! metacareers.com/jobs/124365935…

Jehad Abed aims to accelerate the clean energy transition by providing the community with large lab datasets to enable AI models that cut critical materials discovery from 10 years to 1.