A structural approach to relaxation in glassy liquids
Author(s) -
Samuel S. Schoenholz,
Ekin D. Cubuk,
Daniel M. Sussman,
Efthimios Kaxiras,
Andrea J. Liu
Publication year - 2016
Publication title -
nature physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.157
H-Index - 309
eISSN - 1745-2481
pISSN - 1745-2473
DOI - 10.1038/nphys3644
Subject(s) - statistical physics , physics , relaxation (psychology) , glass transition , dynamics (music) , molecular dynamics , simple (philosophy) , crystallization , field (mathematics) , structure factor , local structure , chemical physics , condensed matter physics , thermodynamics , quantum mechanics , nuclear magnetic resonance , polymer , mathematics , psychology , social psychology , philosophy , epistemology , acoustics , pure mathematics
The relation between structure and dynamics in glasses is not fully understood. A new approach based on machine learning now reveals a correlation between softness—a structural property—and glassy dynamics.
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