Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ward, Logan, Blaiszik, Ben, Lee, Cheng-Wei, Martin, Troy, Foster, Ian, Schleife, André
Format:	Preprint
Published:	2023
Subjects:	Materials Science Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2311.00787