Shi, Yuliang, and Shakib, Farnaz A. Machine Learning Committee Neural Network Potential Energy Surfaces for Two-Dimensional Metal–Organic Frameworks. Retrieved from https://par.nsf.gov/biblio/10630079. The Journal of Physical Chemistry C 129.4 Web. doi:10.1021/acs.jpcc.4c07386.

Shi, Yuliang, & Shakib, Farnaz A. Machine Learning Committee Neural Network Potential Energy Surfaces for Two-Dimensional Metal–Organic Frameworks. The Journal of Physical Chemistry C, 129 (4). Retrieved from https://par.nsf.gov/biblio/10630079. https://doi.org/10.1021/acs.jpcc.4c07386

Shi, Yuliang, and Shakib, Farnaz A. "Machine Learning Committee Neural Network Potential Energy Surfaces for Two-Dimensional Metal–Organic Frameworks". The Journal of Physical Chemistry C 129 (4). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/acs.jpcc.4c07386. https://par.nsf.gov/biblio/10630079.

@article{osti_10630079,
place = {Country unknown/Code not available}, title = {Machine Learning Committee Neural Network Potential Energy Surfaces for Two-Dimensional Metal–Organic Frameworks}, url = {https://par.nsf.gov/biblio/10630079}, DOI = {10.1021/acs.jpcc.4c07386}, abstractNote = {}, journal = {The Journal of Physical Chemistry C}, volume = {129}, number = {4}, publisher = {American Chemical Society}, author = {Shi, Yuliang and Shakib, Farnaz A}, }