Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models

Kai Liu, Zixiong Wei, Wei Gao +3

Universal machine learning interatomic potentials (uMLIPs) are reshaping atomistic simulation as foundation models, delivering near \textit{ab initio} accuracy at a fraction of the…