Hauptseite > Online First > Performance metrics for tensorial learning: prediction of Li4Ti5O12 nuclear magnetic resonance observables at experimental accuracy > print

001     1050124
005     20251224074332.0
024 7 _ |a 10.1039/D5TA05090A
|2 doi
037 _ _ |a FZJ-2025-05832
082 _ _ |a 530
100 1 _ |a Harper, Angela F
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Performance metrics for tensorial learning: prediction of Li4Ti5O12 nuclear magnetic resonance observables at experimental accuracy
260 _ _ |c 2025
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|m journal
336 7 _ |a Dataset
|b dataset
|m dataset
|0 PUB:(DE-HGF)32
|s 1766558579_21794
|2 PUB:(DE-HGF)
336 7 _ |a Chart or Table
|0 26
|2 EndNote
336 7 _ |a Dataset
|2 DataCite
336 7 _ |a DATA_SET
|2 ORCID
336 7 _ |a ResearchData
|2 DINI
536 _ _ |a 1223 - Batteries in Application (POF4-122)
|0 G:(DE-HGF)POF4-1223
|c POF4-122
|f POF IV
|x 0
700 1 _ |a Scheurer, Christoph
|0 P:(DE-Juel1)184961
|b 1
|e Corresponding author
700 1 _ |a Reuter, Karsten
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Köcher, Simone Swantje
|0 P:(DE-Juel1)192562
|b 3
|u fzj
773 _ _ |a 10.1039/D5TA05090A
|0 PERI:(DE-600)2702232-8
|x 2050-7488
|y 2025
|t Edmond
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)184961
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)192562
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
|1 G:(DE-HGF)POF4-120
|0 G:(DE-HGF)POF4-122
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Elektrochemische Energiespeicherung
|9 G:(DE-HGF)POF4-1223
|x 0
914 1 _ |y 2025
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IET-1-20110218
|k IET-1
|l Grundlagen der Elektrochemie
|x 0
980 _ _ |a dataset
980 _ _ |a EDITORS
980 _ _ |a VDBINPRINT
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IET-1-20110218
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21