Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation

scientific article published on 14 August 2019

Embedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation is …
instance of (P31):
scholarly articleQ13442814

External links are
P818arXiv ID1907.06159
P356DOI10.1021/ACS.JPCLETT.9B02037
P698PubMed publication ID31397157

P50authorBin JiangQ57297611
P2093author name stringCe Hu
Yaolong Zhang
P921main subjectmachine learningQ2539
P304page(s)4962-4967
P577publication date2019-08-14
P1433published inJournal of Physical Chemistry LettersQ1768577
P1476titleEmbedded Atom Neural Network Potentials: Efficient and Accurate Machine Learning with a Physically Inspired Representation