Griego, Charles D., Zhao, Lingyan, Saravanan, Karthikeyan, and Keith, John A. Machine learning corrected alchemical perturbation density functional theory for catalysis applications. Retrieved from https://par.nsf.gov/biblio/10208100. AIChE Journal 66.12 Web. doi:10.1002/aic.17041.

Griego, Charles D., Zhao, Lingyan, Saravanan, Karthikeyan, & Keith, John A. Machine learning corrected alchemical perturbation density functional theory for catalysis applications. AIChE Journal, 66 (12). Retrieved from https://par.nsf.gov/biblio/10208100. https://doi.org/10.1002/aic.17041

Griego, Charles D., Zhao, Lingyan, Saravanan, Karthikeyan, and Keith, John A. "Machine learning corrected alchemical perturbation density functional theory for catalysis applications". AIChE Journal 66 (12). Country unknown/Code not available. https://doi.org/10.1002/aic.17041. https://par.nsf.gov/biblio/10208100.

@article{osti_10208100,
place = {Country unknown/Code not available}, title = {Machine learning corrected alchemical perturbation density functional theory for catalysis applications}, url = {https://par.nsf.gov/biblio/10208100}, DOI = {10.1002/aic.17041}, abstractNote = {}, journal = {AIChE Journal}, volume = {66}, number = {12}, author = {Griego, Charles D. and Zhao, Lingyan and Saravanan, Karthikeyan and Keith, John A.}, editor = {null} }