103 citations · 128 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2021★ 24 cited
Bayesian, frequentist, and information geometric approaches to parametric uncertainty quantification of classical empirical interatomic potentials
Yonatan Kurniawan, Cody L. Petrie, Kinamo J. Williams +5
In this paper, we consider the problem of quantifying parametric uncertainty in classical empirical interatomic potentials (IPs) using both Bayesian (Markov Chain Monte Carlo) and…
q-bio.QM2021★ 1 cited
The supremum principle selects simple, transferable models
Cody Petrie, Christian Anderson, Casie Maekawa +2
We consider how mathematical models enable predictions for conditions that are qualitatively different from the training data. We propose techniques based on information topology t…