Ricard, Timothy C., Zhu, Xiao, and Iyengar, Srinivasan S. Capturing Weak Interactions in Surface Adsorbate Systems at Coupled Cluster Accuracy: A Graph-Theoretic Molecular Fragmentation Approach Improved through Machine Learning. Retrieved from https://par.nsf.gov/biblio/10497143. Journal of Chemical Theory and Computation 19.23 Web. doi:10.1021/acs.jctc.3c00955.

Ricard, Timothy C., Zhu, Xiao, & Iyengar, Srinivasan S. Capturing Weak Interactions in Surface Adsorbate Systems at Coupled Cluster Accuracy: A Graph-Theoretic Molecular Fragmentation Approach Improved through Machine Learning. Journal of Chemical Theory and Computation, 19 (23). Retrieved from https://par.nsf.gov/biblio/10497143. https://doi.org/10.1021/acs.jctc.3c00955

Ricard, Timothy C., Zhu, Xiao, and Iyengar, Srinivasan S. "Capturing Weak Interactions in Surface Adsorbate Systems at Coupled Cluster Accuracy: A Graph-Theoretic Molecular Fragmentation Approach Improved through Machine Learning". Journal of Chemical Theory and Computation 19 (23). Country unknown/Code not available: ACS Publications. https://doi.org/10.1021/acs.jctc.3c00955. https://par.nsf.gov/biblio/10497143.

@article{osti_10497143,
place = {Country unknown/Code not available}, title = {Capturing Weak Interactions in Surface Adsorbate Systems at Coupled Cluster Accuracy: A Graph-Theoretic Molecular Fragmentation Approach Improved through Machine Learning}, url = {https://par.nsf.gov/biblio/10497143}, DOI = {10.1021/acs.jctc.3c00955}, abstractNote = {}, journal = {Journal of Chemical Theory and Computation}, volume = {19}, number = {23}, publisher = {ACS Publications}, author = {Ricard, Timothy C. and Zhu, Xiao and Iyengar, Srinivasan S.}, }