Orchestr.AI: A Unified Workflow for Training and Benchmarking of Machine-Learned Interatomic Potentials

Zain Ul Abideen, Mario Fernández-Pendás, Muhammad Usman +4

Machine-learning force fields enable atomistic simulations at near-reference accuracy and substantially reduced computational cost, but their development remains fragmented across…