Stefano Falletta (@fallettastefano) 's Twitter Profile
Stefano Falletta

@fallettastefano

AI Physicist | Radical AI | Harvard

ID: 1570147440241639425

linkhttps://sites.harvard.edu/stefanofalletta/ calendar_today14-09-2022 20:28:34

167 Tweet

512 Followers

479 Following

Steven Torrisi (@steven_torrisi) 's Twitter Profile Photo

1/ How do we weigh the contributions of different spectra when probing local structure + chemistry? In our new paper (npj Computational Materials), we used interpretable ML to study XANES and PDF spectra for property inversion in TM oxides. 🔗 nature.com/articles/s4152… 🧵

Seán Kavanagh (@kavanagh_sean_) 's Twitter Profile Photo

Our work on the intrinsic & extrinsic (dopant) defect chemistry of trigonal Selenium, for indoor and tandem PV solar cells, is now published. Check out the thread below for a quick summary and the article link!

Our work on the intrinsic & extrinsic (dopant) defect chemistry of trigonal Selenium, for indoor and tandem PV solar cells, is now published.

Check out the thread below for a quick summary and the article link!
Xiang Fu (@xiangfu_ml) 's Twitter Profile Photo

We have released an eSEN model that is the current SOTA on Matbench-Discovery. Code/checkpoints are available for both non-commercial and commercial use: code: github.com/facebookresear… checkpoint: huggingface.co/facebook/OMAT24 paper (updated): arxiv.org/abs/2502.12147

Joseph Krause (@josephfkrause) 's Twitter Profile Photo

ML-first materials are here: we demonstrate that machine learning approaches to materials prediction achieves state-of-the-art accuracy and best-in-class efficiency and performance. Adeesh Kolluru is leading the charge Radical AI

Joseph Krause (@josephfkrause) 's Twitter Profile Photo

The momentum we have Radical AI right now is incredible…if you are looking to build technology that impacts the entire human race, we are hiring. Please reach out .

Stefano Falletta (@fallettastefano) 's Twitter Profile Photo

Cool feature! Great to see that Matbench Discovery is pushing the community to improve the accuracy of machine learning force fields 🔥

Stefano Falletta (@fallettastefano) 's Twitter Profile Photo

Excited to see our AI model for electric fields featured by Harvard Harvard SEAS ! 🚀 Link to paper 👉 nature.com/articles/s4146… seas.harvard.edu/news/2025/06/m…

Seán Kavanagh (@kavanagh_sean_) 's Twitter Profile Photo

doped (3.1.0) and ShakeNBreak (3.4.2) have had new releases! - Streamlined chemical potential handling - Auto-compatibility checks w/competing phases calculation settings (as for defects) – common pitfall - Directly parse spin magnetisation (incl SOC) ... github.com/SMTG-Bham/dope…

Janosh (@jrib_) 's Twitter Profile Photo

Matbench Discovery is out in Nature Machine Intelligence @ Paper: rdcu.be/esRFB Leaderboard: …tbench-discovery.materialsproject.org No better time to thank all my co-authors Rhys Goodall, Philipp Benner, Yuan Chiang Yuan (Cyrus) Chiang, Bowen Deng, Mark Asta, Gerbrand Ceder Ceder Group,