A classical density functional from machine learning and a convolutional neural network

dc.contributor.author	Lin, Shang-Chun
dc.contributor.author	Oettel, Martin
dc.date.accessioned	2020-07-15T12:51:35Z
dc.date.available	2020-07-15T12:51:35Z
dc.date.issued	2019
dc.identifier.issn	2542-4653
dc.identifier.uri	http://hdl.handle.net/10900/103260
dc.language.iso	en	de_DE
dc.publisher	Scipost Foundation	de_DE
dc.relation.uri	http://dx.doi.org/10.21468/SciPostPhys.6.2.025	de_DE
dc.subject.ddc	530	de_DE
dc.title	A classical density functional from machine learning and a convolutional neural network	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200409032300_01965
utue.personen.roh	Lin, Shang-Chun
utue.personen.roh	Oettel, Martin
dcterms.isPartOf.ZSTitelID	Scipost Physics	de_DE
dcterms.isPartOf.ZS-Issue	Article 025	de_DE
dcterms.isPartOf.ZS-Volume	6	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE