Really cool use case of a method applied on top of EScAIP: in this case, a new method for transition state search, which requires fast inference and a low memory footprint of the underlying NNIP

Scaling neural network interatomic potentials for molecular and materials simulation: this work will be presented at #NeurIPS2024 this Fri (Dec 13, 11 AM), at Poster Session 5 East! Code is now publicly available: github.com/ASK-Berkeley/E…

A knowledge distillation approach to get fast, specialized machine learning force fields: this work will be presented at #ICLR2025 this Sat (Apr 26, 10 AM) at Poster Session 5 + it will also be a spotlight talk at the #AI4Mat workshop on Apr 28!

Excited to see the OMol25 dataset out! This was really fun to collaborate on 😃