Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions

dc.contributor.author	Bamler, Robert
dc.date.accessioned	2022-12-06T12:21:32Z
dc.date.available	2022-12-06T12:21:32Z
dc.date.issued	2022
dc.identifier.issn	2041-6520
dc.identifier.uri	http://hdl.handle.net/10900/133726
dc.language.iso	en	de_DE
dc.publisher	Royal Soc Chemistry	de_DE
dc.relation.uri	http://dx.doi.org/10.1039/d1sc07210b
dc.subject.ddc	540	de_DE
dc.title	Making thermodynamic models of mixtures predictive by machine learning: matrix completion of pair interactions	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_01267
utue.publikation.seiten	4854-4862	de_DE
utue.personen.roh	Jirasek, Fabian
utue.personen.roh	Bamler, Robert
utue.personen.roh	Fellenz, Sophie
utue.personen.roh	Bortz, Michael
utue.personen.roh	Kloft, Marius
utue.personen.roh	Mandt, Stephan
utue.personen.roh	Hasse, Hans
dcterms.isPartOf.ZSTitelID	Chemical Science	de_DE
dcterms.isPartOf.ZS-Issue	17	de_DE
dcterms.isPartOf.ZS-Volume	13	de_DE
utue.fakultaet	Sonstige