Search

Categories

Energy

(3)

Physical Chemistry

(3)

Theoretical and Computational Chemistry

(3)

Content Types

Working Paper

(3)

Published Date

Over 3 years

(2)

Last 3 years

(1)

Keywords

Authors

Nathaniel Hoyt

3 results in Authors: Nathaniel Hoyt

Physical Chemistry

Automated Development of Molten Salt Machine Learning Potentials: Application to LiCl

ganesh sivaraman, Jicheng Guo, Logan Ward, Nathaniel Hoyt, Mark Williamson, Ian Foster, Chris Benmore, Nicholas Jackson

Version 1 posted 18 March 2021

826

Downloads

1

Citations

AL4GAP: Active Learning Workflow for generating DFT-SCAN Accurate Machine-Learning Potentials for Combinatorial Molten Salt Mixtures

Jicheng Guo, Vanessa Woo, David Andersson, Nathaniel Hoyt, Mark Williamson, Ian Foster, Chris Benmore, Nicholas Jackson, Ganesh Sivaraman

Version 1 posted 24 April 2023

628

Downloads

1

Citations

Physical Chemistry

A Composition-Transferable Machine Learning Potential for LiCl-KCl Molten Salts Validated by HEXRD

Jicheng Guo, Logan Ward, Yadu Babuji, Nathaniel Hoyt, Mark Williamson, Ian Foster, Nicholas Jackson, Chris Benmore, ganesh sivaraman

Version 1 posted 04 February 2022

713

Downloads

1

Citations