Yang, Yilin, Guo, Zhitao, Gellman, Andrew J., and Kitchin, John R. Simulating Segregation in a Ternary Cu–Pd–Au Alloy with Density Functional Theory, Machine Learning, and Monte Carlo Simulations. Retrieved from https://par.nsf.gov/biblio/10352631. The Journal of Physical Chemistry C 126.4 Web. doi:10.1021/acs.jpcc.1c09647.

Yang, Yilin, Guo, Zhitao, Gellman, Andrew J., & Kitchin, John R. Simulating Segregation in a Ternary Cu–Pd–Au Alloy with Density Functional Theory, Machine Learning, and Monte Carlo Simulations. The Journal of Physical Chemistry C, 126 (4). Retrieved from https://par.nsf.gov/biblio/10352631. https://doi.org/10.1021/acs.jpcc.1c09647

Yang, Yilin, Guo, Zhitao, Gellman, Andrew J., and Kitchin, John R. "Simulating Segregation in a Ternary Cu–Pd–Au Alloy with Density Functional Theory, Machine Learning, and Monte Carlo Simulations". The Journal of Physical Chemistry C 126 (4). Country unknown/Code not available. https://doi.org/10.1021/acs.jpcc.1c09647. https://par.nsf.gov/biblio/10352631.

@article{osti_10352631,
place = {Country unknown/Code not available}, title = {Simulating Segregation in a Ternary Cu–Pd–Au Alloy with Density Functional Theory, Machine Learning, and Monte Carlo Simulations}, url = {https://par.nsf.gov/biblio/10352631}, DOI = {10.1021/acs.jpcc.1c09647}, abstractNote = {}, journal = {The Journal of Physical Chemistry C}, volume = {126}, number = {4}, author = {Yang, Yilin and Guo, Zhitao and Gellman, Andrew J. and Kitchin, John R.}, }