This work brings the leading accuracy, sample efficiency, and robustness...
Deep learning has emerged as a promising paradigm to give access to high...
The rapid progress of machine learning interatomic potentials over the p...
A simultaneously accurate and computationally efficient parametrization ...
This work presents Neural Equivariant Interatomic Potentials (NequIP), a...
Computing accurate reaction rates is a central challenge in computationa...
We present a way to dramatically accelerate Gaussian process models for
...
The ever-growing availability of computing power and the sustained
devel...
Neural network force field (NNFF) is a method for performing regression ...