REANN: A PyTorch-based end-to-end multi-functional deep neural network package for molecular, reactive, and periodic systems

scientific article published in 2022

REANN: A PyTorch-based end-to-end multi-functional deep neural network package for molecular, reactive, and periodic systems is …
instance of (P31):
scholarly articleQ13442814

External links are
P818arXiv ID2112.01774
P356DOI10.1063/5.0080766

P50authorYaolong ZhangQ57297601
Bin JiangQ57297611
P2093author name stringJunfan Xia
P433issue11
P921main subjectPyTorchQ47509047
deep neural networkQ51289900
P6104maintained by WikiProjectWikiProject SoftwareQ15659621
P304page(s)114801
P577publication date2022-03-21
P1433published inJournal of Chemical PhysicsQ900472
P1476titleREANN: A PyTorch-based end-to-end multi-functional deep neural network package for molecular, reactive, and periodic systems
P478volume156

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