Anomaly detection for structural formation analysis by autoencoders: application to soft matters

Machine-learning-based computational methods for structural analysis have been proposed to study colloidal systems. However, most of these methods are based on supervised learning, which suffers from the fundamental difficulty that neural networks cannot correctly discriminate a system that has not...

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Bibliographic Details

Published in:	Philosophical magazine (Abingdon, England) Vol. 103; no. 22; pp. 2013 - 2028
Main Author:	Terao, Takamichi
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 17.11.2023
Subjects:	crystallization Molecular dynamic simulations structure analysis
ISSN:	1478-6435, 1478-6443
Online Access:	Get full text
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