Yanxon, Howard, Zagaceta, David, Wood, Brandon C., and Zhu, Qiang. Neural network potential from bispectrum components: A case study on crystalline silicon. The Journal of Chemical Physics 153.5 Web. doi:10.1063/5.0014677.

Yanxon, Howard, Zagaceta, David, Wood, Brandon C., & Zhu, Qiang. Neural network potential from bispectrum components: A case study on crystalline silicon. The Journal of Chemical Physics, 153 (5). https://doi.org/10.1063/5.0014677

Yanxon, Howard, Zagaceta, David, Wood, Brandon C., and Zhu, Qiang. "Neural network potential from bispectrum components: A case study on crystalline silicon". The Journal of Chemical Physics 153 (5). Country unknown/Code not available: American Institute of Physics. https://doi.org/10.1063/5.0014677. https://par.nsf.gov/biblio/10181513.

@article{osti_10181513,
place = {Country unknown/Code not available}, title = {Neural network potential from bispectrum components: A case study on crystalline silicon}, url = {https://par.nsf.gov/biblio/10181513}, DOI = {10.1063/5.0014677}, abstractNote = {Not Available}, journal = {The Journal of Chemical Physics}, volume = {153}, number = {5}, publisher = {American Institute of Physics}, author = {Yanxon, Howard and Zagaceta, David and Wood, Brandon C. and Zhu, Qiang}, }