Active Learning of SNAP Potentials using Bayesian Uncertainty Estimation.
Abstract not provided.
Williams, Logan↗
Engineering topics
Johnston, Katherine
Publications and source records attributed to Johnston, Katherine.
Quantification and Propagation of Uncertainties in Machine Learning Interatomic Potentials for Molecular Dynamics.
Abstract not provided.
Sargsyan, Khachik↗
The UQTk C++/Python Toolkit for Uncertainty Quantification: Overview and Applications.
Abstract not provided.
Boll, Luke↗
UQTk Version 3.1.2 User Manual
The UQ Toolkit (UQTk) is a collection of libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.1.2 offers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sensitivity analysis, methods for sparse surrogate construction, and Bayesian inference tools for inferring parameters from experimental data. This manual discusses the download and installation process for UQTk, provides pointers to the UQ methods used in the toolkit, and describes some of the examples provided with the toolkit.
97 MATHEMATICS AND COMPUTING↗