activity
20242026
most citedAccelerating fourth-generation machine learning potentials by quasi-linear scaling particle mesh charge equilibration

21 citations · 28 across the 5 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

physics.chem-ph2025★ 6 cited

Apax: A Flexible and Performant Framework For The Development of Machine-Learned Interatomic Potentials

Moritz René Schäfer, Nico Segreto, Fabian Zills +2

We introduce Atomistic learned potentials in JAX (apax), a flexible and efficient open source software package for training and inference of machine-learned interatomic potentials.…