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Esther C. Hessong

University of California, Irvine

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

The Structure and Migration of Twin Boundaries in Tetragonal β-Sn: An Application of Machine Learning Based Interatomic Potentials

Number of pages: 33 Posted: 17 Jun 2025
Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, University of California, Irvine, University of Illinois at Urbana-Champaign - Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign - Department of Mechanical Science and Engineering, Iowa State University, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory, Government of the United States of America - Los Alamos National Laboratory and Los Alamos National Laboratory - Materials Science and Technology Division
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Abstract:

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Sn alloys, tin, grain boundary structure, grain boundary migration, twinning, deformation twinning, Wulff shape, faceting, HRTEM, grand canonical optimization, machine learning, MTP, interatomic potential, RANN, disconnections, kinetics, growth