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001     1037557
005     20250203103230.0
037 _ _ |a FZJ-2025-00745
041 _ _ |a English
100 1 _ |a Daniel, Davis Thomas
|0 P:(DE-Juel1)185897
|b 0
|e Corresponding author
111 2 _ |a CECAM Machine Learning of First Principles Observables
|c Berlin
|d 2024-07-08 - 2024-07-12
|w Germany
245 _ _ |a Machine learning isotropic g values of organic battery materials
260 _ _ |c 2024
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
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336 7 _ |a Poster
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|x After Call
536 _ _ |a 1223 - Batteries in Application (POF4-122)
|0 G:(DE-HGF)POF4-1223
|c POF4-122
|f POF IV
|x 0
536 _ _ |a DFG project G:(GEPRIS)422726248 - SPP 2248: Polymer-basierte Batterien (422726248)
|0 G:(GEPRIS)422726248
|c 422726248
|x 1
700 1 _ |a Mitra, Souvik
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Eichel, Rüdiger-A.
|0 P:(DE-Juel1)156123
|b 2
700 1 _ |a Diddens, Diddo
|0 P:(DE-Juel1)169877
|b 3
700 1 _ |a Granwehr, Josef
|0 P:(DE-Juel1)162401
|b 4
856 4 _ |u https://www.cecam.org/workshop-details/machine-learning-of-first-principles-observables-1322
909 C O |o oai:juser.fz-juelich.de:1037557
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910 1 _ |a RWTH Aachen
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913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Materialien und Technologien für die Energiewende (MTET)
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|0 G:(DE-HGF)POF4-122
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|v Elektrochemische Energiespeicherung
|9 G:(DE-HGF)POF4-1223
|x 0
914 1 _ |y 2024
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IET-1-20110218
|k IET-1
|l Grundlagen der Elektrochemie
|x 0
980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IET-1-20110218
980 _ _ |a UNRESTRICTED

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