Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Joris Paret"'
Autor:
Joris Paret, Daniele Coslovich
partycls is a Python framework for cluster analysis of systems of interacting particles. By grouping particles that share similar structural or dynamical properties, partycls enables rapid and unsupervised exploration of the system's relevant feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e46c43192e83ddf6b9204002eede77
Publikováno v:
Journal of Chemical Physics
Journal of Chemical Physics, American Institute of Physics, 2020, 152 (14), pp.144502. ⟨10.1063/5.0004732⟩
Journal of Chemical Physics, American Institute of Physics, 2020, 152 (14), pp.144502. ⟨10.1063/5.0004732⟩
We present an information-theoretic approach inspired by distributional clustering to assess the structural heterogeneity of particulate systems. Our method identifies communities of particles that share a similar local structure by harvesting the in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fc22b3ccc9329eaa99be7854d0f798d