Machine Learning of a Density Functional for Anisotropic Patchy Particles

dc.contributor.author	Simon, Alessandro
dc.contributor.author	Weimar, Jens
dc.contributor.author	Martius, Georg
dc.contributor.author	Oettel, Martin
dc.date.accessioned	2025-07-15T09:14:39Z
dc.date.available	2025-07-15T09:14:39Z
dc.date.issued	2024
dc.identifier.issn	1549-9618
dc.identifier.uri	http://hdl.handle.net/10900/168150
dc.language.iso	en	de_DE
dc.publisher	Washington : Amer Chemical Soc	de_DE
dc.relation.uri	http://dx.doi.org/10.1021/acs.jctc.3c01238	de_DE
dc.subject.ddc	530	de_DE
dc.subject.ddc	540	de_DE
dc.title	Machine Learning of a Density Functional for Anisotropic Patchy Particles	de_DE
dc.type	Article	de_DE
utue.quellen.id	20240422000000_00902
utue.publikation.seiten	1062-1077	de_DE
utue.personen.roh	Simon, Alessandro
utue.personen.roh	Weimar, Jens
utue.personen.roh	Martius, Georg
utue.personen.roh	Oettel, Martin
dcterms.isPartOf.ZSTitelID	Journal of Chemical Theory and Computation	de_DE
dcterms.isPartOf.ZS-Issue	3	de_DE
dcterms.isPartOf.ZS-Volume	20	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE