Performance and Cost Assessment of Machine Learning Interatomic Potentials

2019 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Performance and Cost Assessment of Machine Learning Interatomic Potentials​
Zuo, Y.; Chen, C.; Li, X.; Deng, Z.; Chen, Y.; Behler, J.   & Csányi, G. et al.​ (2019) 
The Journal of Physical Chemistry A, 124(4) pp. 731​-745​.​ DOI: https://doi.org/10.1021/acs.jpca.9b08723 

Copy

Further links

Documents & Media

License

GRO License GRO License

Details

Authors
Zuo, Yunxing; Chen, Chi; Li, Xiangguo; Deng, Zhi; Chen, Yiming; Behler, Jörg ; Csányi, Gábor; Shapeev, Alexander V.; Thompson, Aidan P.; Wood, Mitchell A.; Ong, Shyue Ping
Issue Date
2019
Journal
The Journal of Physical Chemistry A 
ISSN
1089-5639
eISSN
1520-5215
Language
English

Export Metadata

Refman EndNote BibTeX RefWorks Excel CSV

Reference

Citations


Social Media