Multivariate conformal uncertainty propagation in multitask atomistic simulation: Successes and pitfalls

Machine learning has become the standard tool for the design of interatomic potentials which balance efficiency and accuracy, but uncertainty quantification remains an open problem. Multiscale simulations introduce an additional challenge: robust uncertainty quantification across scales. Even within