Uncertainty Quantification and Active Learning in Atomistic Computations.
Habib N. Najm · 2022
s a n n e , S w i t z e r l a n d J u n e 2 0 -2 4 , 2 0 2 2 SAND2022-9005C This paper describes objective technical results and analysis.Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government.oratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LL oneywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE