Matches in SemOpenAlex for { <https://semopenalex.org/work/W3099086878> ?p ?o ?g. }
- W3099086878 abstract "We outline how principal component analysis (PCA) can be applied to particle configuration data to detect a variety of phase transitions in off-lattice systems, both in and out of equilibrium. Specifically, we discuss its application to study 1) the nonequilibrium random organization (RandOrg) model that exhibits a phase transition from quiescent to steady-state behavior as a function of density, 2) orientationally and positionally driven equilibrium phase transitions for hard ellipses, and 3) compositionally driven demixing transitions in the non-additive binary Widom-Rowlinson mixture." @default.
- W3099086878 created "2020-11-23" @default.
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- W3099086878 date "2018-11-20" @default.
- W3099086878 modified "2023-10-14" @default.
- W3099086878 title "Unsupervised machine learning for detection of phase transitions in off-lattice systems. II. Applications" @default.
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- W3099086878 doi "https://doi.org/10.1063/1.5049850" @default.
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