Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods
نویسندگان
چکیده
منابع مشابه
Identifying structural flow defects in disordered solids using machine-learning methods.
We use machine-learning methods on local structure to identify flow defects-or particles susceptible to rearrangement-in jammed and glassy systems. We apply this method successfully to two very different systems: a two-dimensional experimental realization of a granular pillar under compression and a Lennard-Jones glass in both two and three dimensions above and below its glass transition temper...
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ژورنال
عنوان ژورنال: Physical Review Letters
سال: 2015
ISSN: 0031-9007,1079-7114
DOI: 10.1103/physrevlett.114.108001