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Kamron Fazel

Showing results (1-10 of 4) with videos related to

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Journal of Computational Chemistry|April 25, 2024
Improving the reliability of machine learned potentials for modeling inhomogeneous liquidsKamron Fazel, Nima Karimitari, Tanooj Shah, et al.
The Journal of Chemical Physics|December 21, 2023
First-principles molten salt phase diagrams through thermodynamic integrationTanooj Shah, Kamron Fazel, Jie Lian, et al.
The Journal of Chemical Physics|October 8, 2024
Bridging electronic and classical density-functional theory using universal machine-learned functional approximationsMichelle M Kelley, Joshua Quinton, Kamron Fazel, et al.
ACS Omega|June 29, 2026
Development of Machine-Learned Interatomic Potentials to Predict Structure, Transport, and Reactivity in Platinum-Based Fuel CellsKamron Fazel, Sam Brown, Jacob Clary, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Computational Chemistry|April 25, 2024
Improving the reliability of machine learned potentials for modeling inhomogeneous liquidsKamron Fazel, Nima Karimitari, Tanooj Shah, et al.
The Journal of Chemical Physics|December 21, 2023
First-principles molten salt phase diagrams through thermodynamic integrationTanooj Shah, Kamron Fazel, Jie Lian, et al.
The Journal of Chemical Physics|October 8, 2024
Bridging electronic and classical density-functional theory using universal machine-learned functional approximationsMichelle M Kelley, Joshua Quinton, Kamron Fazel, et al.
ACS Omega|June 29, 2026
Development of Machine-Learned Interatomic Potentials to Predict Structure, Transport, and Reactivity in Platinum-Based Fuel CellsKamron Fazel, Sam Brown, Jacob Clary, et al.
Pageof 1