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Nathaniel Hoyt

3 results in Authors: Nathaniel Hoyt

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

634

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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

730

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1

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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

556

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1

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