@Comment { \documentclass{article} \usepackage{url} \begin{document} This Model originally published in \cite{OpenKIM-MO:698578166685:000a} is archived in \cite{OpenKIM-MO:698578166685:000, OpenKIM-MD:536750310735:000, tadmor:elliott:2011, elliott:tadmor:2011}. \bibliographystyle{vancouver} \bibliography{kimcite-MO_698578166685_000.bib} \end{document} } @Misc{OpenKIM-MO:698578166685:000, author = {Richard Tran and Hanmei Tang and lek-Heng Chu and Deng, Zhi and Chi Chen and Ong, Shyue Ping}, title = {{A} spectral neighbor analysis potential for {M}o developed by {C}hi {C}hen (2019) v000}, doi = {10.25950/63ad82cb}, howpublished = {OpenKIM, \url{https://doi.org/10.25950/63ad82cb}}, keywords = {OpenKIM, Model, MO_698578166685_000}, publisher = {OpenKIM}, year = 2020, } @Misc{OpenKIM-MD:536750310735:000, author = {Yaser Afshar and Aidan P. Thompson and Laura P. Swiler and Christian R. Trott and Stephen M. Foiles and Garritt J. Tucker}, 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:698578166685:000a, author = {Chen, Chi and Deng, Zhi and Tran, Richard and Tang, Hanmei and Chu, Iek-Heng and Ong, Shyue Ping}, doi = {10.1103/PhysRevMaterials.1.043603}, journal = {Physical Review Materials}, number = {4}, pages = {043603}, title = {Accurate Force Field for Molybdenum by Machine Learning Large Materials Data}, volume = {1}, year = {2017}, }