Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data

dc.contributor.author	Starostin, Vladimir
dc.contributor.author	Munteanu, Valentin
dc.contributor.author	Greco, Alessandro
dc.contributor.author	Kneschaurek, Ekaterina
dc.contributor.author	Pleli, Alina
dc.contributor.author	Gerlach, Alexander
dc.contributor.author	Hinderhofer, Alexander
dc.contributor.author	Schreiber, Frank
dc.date.accessioned	2022-11-17T13:13:26Z
dc.date.available	2022-11-17T13:13:26Z
dc.date.issued	2022
dc.identifier.issn	2057-3960
dc.identifier.uri	http://hdl.handle.net/10900/133156
dc.language.iso	en	en
dc.publisher	Nature Portfolio	de_DE
dc.relation.uri	http://dx.doi.org/10.1038/s41524-022-00778-8
dc.subject.ddc	540	de_DE
dc.subject.ddc	600	de_DE
dc.title	Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_00825
utue.personen.roh	Starostin, Vladimir
utue.personen.roh	Munteanu, Valentin
utue.personen.roh	Greco, Alessandro
utue.personen.roh	Kneschaurek, Ekaterina
utue.personen.roh	Pleli, Alina
utue.personen.roh	Bertram, Florian
utue.personen.roh	Gerlach, Alexander
utue.personen.roh	Hinderhofer, Alexander
utue.personen.roh	Schreiber, Frank
dcterms.isPartOf.ZSTitelID	Npj Computational Materials	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	8	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät