January '25 Reading List

MLIP Models and Frameworks

https://github.com/mir-group/nequip

Notes on Predicting superconducting transition temperature through advanced machine learning and innovative feature engineering

So far this is the most recent paper I've found on ML prediction of , improving on both modeling (CatBoost) and dataset compared to Stanev et al.

GHOST Meeting Notes

2025-01-03

For simplicity I feel like we can frame this as purely focusing on the materials discovery, knowing that the broader goal could still be the Bell Labs 2.0 Logo draft, tried to go Skunkworks style cart