Learning symmetry-preserving interatomic force fields for atomistic simulations

Learning symmetry-preserving interatomic force fields for atomistic simulations

Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2019 === Cataloged from PDF version of thesis. === Includes bibliographical references. === Machine-Learning Interatomic Force-Fields have shown great promise in increasing time- and length-scales i...

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Bibliographic Details
Main Author: Batzner, Simon Lutz.
Other Authors: Jeffrey C. Grossman and Boris Kozinsky.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2019
Subjects:
Computation for Design and Optimization Program.
Online Access:https://hdl.handle.net/1721.1/122525

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