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ReaxFF-MPNN machine learning potential: a combination of re..:
Xue, Li-Yuan
;
Guo, Feng
;
Wen, Yu-Shi
...
Physical Chemistry Chemical Physics. 23 (2021) 35 - p. 19457-19464 , 2021
Link:
https://doi.org/10.1039/d1cp01656c
RT Journal T1 <Title>ReaxFF-MPNN machine learning potential: a combination of reactive force field and message passing neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d1cp01656c&Exemplar=1&LAN=DE A1 Xue, Li-Yuan A1 Guo, Feng A1 Wen, Yu-Shi A1 Feng, Shi-Quan A1 Huang, Xiao-Na A1 Guo, Lei A1 Li, Heng-Shuai A1 Cui, Shou-Xin A1 Zhang, Gui-Qing A1 Wang, Qing-Lin PB Royal Society of Chemistry (RSC) YR 2021 SN 1463-9076 SN 1463-9084 JF Physical Chemistry Chemical Physics VO 23 IS 35 SP 19457 OP 19464 LK http://dx.doi.org/https://doi.org/10.1039/d1cp01656c DO https://doi.org/10.1039/d1cp01656c SF ELIB - SuUB Bremen
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