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1 Ergebnisse
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An interpretable LSTM deep learning model predicts the time..:
Zhao, Yunmei
;
Chen, Zhenyue
;
Dong, Yiqun
.
Materials Today Communications. 37 (2023) - p. 106998 , 2023
Link:
https://doi.org/10.1016/j.mtcomm.2023.106998
RT Journal T1
An interpretable LSTM deep learning model predicts the time-dependent swelling behavior in CERCER composite fuels
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.mtcomm.2023.106998&Exemplar=1&LAN=DE A1 Zhao, Yunmei A1 Chen, Zhenyue A1 Dong, Yiqun A1 Tu, Jingqi PB Elsevier BV YR 2023 SN 2352-4928 JF Materials Today Communications VO 37 SP 106998 LK http://dx.doi.org/https://doi.org/10.1016/j.mtcomm.2023.106998 DO https://doi.org/10.1016/j.mtcomm.2023.106998 SF ELIB - SuUB Bremen
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