A general classification scheme of detecting spatial and dynamical heterogeneities in super-cooled liquids

dc.contributor.author Nguyen, Viet
dc.contributor.author Song, Xueyu
dc.contributor.department Chemistry
dc.contributor.department Ames Laboratory
dc.date.accessioned 2022-04-01T20:48:33Z
dc.date.available 2022-04-01T20:48:33Z
dc.date.issued 2022
dc.description.abstract A computational approach via implementation of the Principle Component Analysis (PCA) and Gaussian Mixture (GM) clustering methods from Machine Learning (ML) algorithms to identify domain structures of supercooled liquids is developed. Raw features data are collected from the coordination numbers of particles smoothed using its radial distribution function and are used as an order-parameter of disordered structures for GM clustering after dimensionality reduction from the PCA. To transfer the knowledge from features(structural) space to configurational space, another GM clustering is performed using the Cartesian coordinates as an order-parameter with the particles' identity from GM in the feature space. Both GM clustering are performed iteratively until convergence. Results show the appearance of aggregated clusters of nano-domains over sufficient long timescale both in structural and configurational spaces with heterogeneous dynamics. More importantly, consistent nano-domains tilling up the whole space regardless of the system size are observed and our approach can be applied to any disordered systems.
dc.description.comments This is a pre-print of the article Nguyen, Viet, and Xueyu Song. "A general classification scheme of detecting spatial and dynamical heterogeneities in super-cooled liquids." arXiv preprint arXiv:2203.11989 (2022). Copyright 2022 The Author(s). Posted with permission.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/jrl8m4Zr
dc.language.iso en
dc.publisher arXiv
dc.source.uri https://doi.org/10.48550/arXiv.2203.11989 *
dc.title A general classification scheme of detecting spatial and dynamical heterogeneities in super-cooled liquids
dc.type Article
dspace.entity.type Publication
relation.isAuthorOfPublication 09534289-fb52-477b-b600-33ae2f778a5f
relation.isOrgUnitOfPublication 42864f6e-7a3d-4be3-8b5a-0ae3c3830a11
relation.isOrgUnitOfPublication 25913818-6714-4be5-89a6-f70c8facdf7e
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