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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|October 8, 2024
Bridging electronic and classical density-functional theory using universal machine-learned functional approximationsMichelle M Kelley, Joshua Quinton, Kamron Fazel, et al.
Journal of the American Chemical Society|June 16, 2015
Rubrene: The Interplay between Intramolecular and Intermolecular Interactions Determines the Planarization of Its Tetracene Core in the Solid StateChristopher Sutton, Michael S Marshall, C David Sherrill, et al.
Nature Communications|September 5, 2020
Identifying domains of applicability of machine learning models for materials scienceChristopher Sutton, Mario Boley, Luca M Ghiringhelli, et al.
The Journal of Spinal Cord Medicine|March 11, 2021
Physical and occupational therapist rehabilitation of lower extremity fractures in veterans with spinal cord injuries and disordersMarylou Guihan, Kayla Roddick, Tomas Cervinka, et al.
The Journal of Chemical Physics|November 23, 2017
Understanding the effects of electronic polarization and delocalization on charge-transport levels in oligoacene systemsChristopher Sutton, Naga Rajesh Tummala, Travis Kemper, et al.
Science Advances|February 21, 2019
New tolerance factor to predict the stability of perovskite oxides and halidesChristopher J Bartel, Christopher Sutton, Bryan R Goldsmith, et al.
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