Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium

dc.contributor.author	Carnazza, Francesco
dc.contributor.author	Carollo, Federico
dc.contributor.author	Martius, Georg
dc.contributor.author	Lesanovsky, Igor
dc.date.accessioned	2025-04-23T09:57:21Z
dc.date.available	2025-04-23T09:57:21Z
dc.date.issued	2024
dc.identifier.issn	2632-2153
dc.identifier.uri	http://hdl.handle.net/10900/164575
dc.language.iso	en	en
dc.publisher	Bristol : Iop Publishing Ltd	de_DE
dc.relation.uri	http://dx.doi.org/10.1088/2632-2153/ad7ad7
dc.subject.ddc	004	de_DE
dc.subject.ddc	500	de_DE
dc.title	Machine learning stochastic differential equations for the evolution of order parameters of classical many-body systems in and out of equilibrium	de_DE
dc.type	Article	de_DE
utue.quellen.id	20250203000000_00257
utue.personen.roh	Carnazza, Francesco
utue.personen.roh	Carollo, Federico
utue.personen.roh	Andergassen, Sabine
utue.personen.roh	Martius, Georg
utue.personen.roh	Klopotek, Miriam
utue.personen.roh	Lesanovsky, Igor
dcterms.isPartOf.ZSTitelID	Machine Learning - Science and Technology	de_DE
dcterms.isPartOf.ZS-Issue	4	de_DE
dcterms.isPartOf.ZS-Volume	5	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige