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}
}
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