@Comment { \documentclass{article} \usepackage{url} \begin{document} This Model originally published in \cite{MO_365106510449_000a} is archived in OpenKIM~\cite{MO_365106510449_000, MD_536750310735_000, tadmor:elliott:2011, elliott:tadmor:2011}. \bibliographystyle{vancouver} \bibliography{kimcite-MO_365106510449_000.bib} \end{document} } @Misc{OpenKIM-MO:365106510449:000, author = {Yunxing Zuo}, title = {{A} spectral neighbor analysis potential for {N}i developed by {Y}unxing {Z}uo v000}, doi = {10.25950/f6d26393}, howpublished = {OpenKIM, \url{https://doi.org/10.25950/f6d26393}}, keywords = {OpenKIM, Model, MO_365106510449_000}, publisher = {OpenKIM}, year = 2020, } @Misc{OpenKIM-MD:536750310735:000, author = {Yaser Afshar}, title = {{S}pectral neighbor analysis potential ({SNAP}) model driver v000}, doi = {10.25950/f4fae493}, howpublished = {OpenKIM, \url{https://doi.org/10.25950/f4fae493}}, keywords = {OpenKIM, Model Driver, MD_536750310735_000}, publisher = {OpenKIM}, year = 2019, } @Article{tadmor:elliott:2011, author = {E. B. Tadmor and R. S. Elliott and J. P. Sethna and R. E. Miller and C. A. Becker}, title = {The potential of atomistic simulations and the {K}nowledgebase of {I}nteratomic {M}odels}, journal = {{JOM}}, year = {2011}, volume = {63}, number = {7}, pages = {17}, doi = {10.1007/s11837-011-0102-6}, } @Misc{elliott:tadmor:2011, author = {Ryan S. Elliott and Ellad B. Tadmor}, title = {{K}nowledgebase of {I}nteratomic {M}odels ({KIM}) Application Programming Interface ({API})}, howpublished = {\url{https://openkim.org/kim-api}}, publisher = {OpenKIM}, year = 2011, doi = {10.25950/ff8f563a}, } @Article{OpenKIM-MO:365106510449:000a, author = {Zuo, Yunxing and Chen, Chi and Li, Xiangguo and Deng, Zhi and Chen, Yiming and Behler, J{\"o}rg and Cs{\'a}nyi, G{\'a}bor and Shapeev, Alexander V. and Thompson, Aidan P. and Wood, Mitchell A. and Ong, Shyue Ping}, doi = {10.1021/acs.jpca.9b08723}, journal = {The Journal of Physical Chemistry A}, number = {4}, pages = {731--745}, title = {Performance and Cost Assessment of Machine Learning Interatomic Potentials}, volume = {124}, year = {2020}, }