Webinar: Trusted and reproducible workflows for machine learnt interatomic potentials
Online Virtual Event, OnlineThis webinar, presented by Elliott Kasoar and Dr Alin-Marin Elena, explores recent advances in machine learnt interatomic potentials (MLIPs) that revolutionize atomistic simulations with ab initio accuracy and expanded scales, while introducing software frameworks such as janus-core, aiida-mlip, and ML-PEG for data generation, benchmarking, training, and workflow integration within the PSDI ecosystem.