Duan, Chenru, Liu, Fang, Nandy, Aditya, and Kulik, Heather J. Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery. Retrieved from https://par.nsf.gov/biblio/10231107. The Journal of Physical Chemistry Letters 12.19 Web. doi:10.1021/acs.jpclett.1c00631.

Duan, Chenru, Liu, Fang, Nandy, Aditya, & Kulik, Heather J. Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery. The Journal of Physical Chemistry Letters, 12 (19). Retrieved from https://par.nsf.gov/biblio/10231107. https://doi.org/10.1021/acs.jpclett.1c00631

Duan, Chenru, Liu, Fang, Nandy, Aditya, and Kulik, Heather J. "Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery". The Journal of Physical Chemistry Letters 12 (19). Country unknown/Code not available. https://doi.org/10.1021/acs.jpclett.1c00631. https://par.nsf.gov/biblio/10231107.

@article{osti_10231107,
place = {Country unknown/Code not available}, title = {Putting Density Functional Theory to the Test in Machine-Learning-Accelerated Materials Discovery}, url = {https://par.nsf.gov/biblio/10231107}, DOI = {10.1021/acs.jpclett.1c00631}, abstractNote = {}, journal = {The Journal of Physical Chemistry Letters}, volume = {12}, number = {19}, author = {Duan, Chenru and Liu, Fang and Nandy, Aditya and Kulik, Heather J.}, editor = {null} }