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1 Ergebnisse
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Enhancing interpretability in the exploration of high-energ..:
Wang, Tao
;
Lai, Xiaolong
;
Wei, Yadong
..
Science China Materials. 67 (2024) 4 - p. 1183-1191 , 2024
Link:
https://doi.org/10.1007/s40843-023-2800-x
RT Journal T1
Enhancing interpretability in the exploration of high-energy conversion efficiency in CsSnBr3−xIx configurations using crystal graph convolutional neural networks and adversarial example methods; 利用晶体图神经网络和对抗样本方法探索CsSnBr3−xIx中高能量转换效率构型并提高模型的可解释性
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s40843-023-2800-x&Exemplar=1&LAN=DE A1 Wang, Tao A1 Lai, Xiaolong A1 Wei, Yadong A1 Guo, Hong A1 Jin, Hao PB Springer Science and Business Media LLC YR 2024 SN 2095-8226 SN 2199-4501 JF Science China Materials VO 67 IS 4 SP 1183 OP 1191 LK http://dx.doi.org/https://doi.org/10.1007/s40843-023-2800-x DO https://doi.org/10.1007/s40843-023-2800-x SF ELIB - SuUB Bremen
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