2026
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
ICLR 2026poster
Large-scale atomistic simulations are essential to bridge computational materials and chemistry to realistic materials and drug discovery applications. In the past few years, rapid developments of machine learning interatomic potentials (MLIPs) have offered a solution to scale up quantum mechanical…