%0 Journal Article %1 journals/jcc/HuynhLVNHFP24 %A Huynh, Hieu %A Le, Khanh %A Vu, Linh %A Nguyen, Trang %A Holcomb, Matthew %A Forli, Stefano %A Phan, Hung %D 2024 %J J. Comput. Chem. %K dblp %N 18 %P 1552-1561 %T Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms. %U http://dblp.uni-trier.de/db/journals/jcc/jcc45.html#HuynhLVNHFP24 %V 45

@article{journals/jcc/HuynhLVNHFP24, added-at = {2024-06-18T00:00:00.000+0200}, author = {Huynh, Hieu and Le, Khanh and Vu, Linh and Nguyen, Trang and Holcomb, Matthew and Forli, Stefano and Phan, Hung}, biburl = {https://www.bibsonomy.org/bibtex/25b602edc742e5928e09f5cfeec3374fe/dblp}, ee = {https://doi.org/10.1002/jcc.27329}, interhash = {f3f04b9557fc6b31fdc81c6bf868b411}, intrahash = {5b602edc742e5928e09f5cfeec3374fe}, journal = {J. Comput. Chem.}, keywords = {dblp}, month = {July}, number = 18, pages = {1552-1561}, timestamp = {2024-06-24T07:08:34.000+0200}, title = {Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms.}, url = {http://dblp.uni-trier.de/db/journals/jcc/jcc45.html#HuynhLVNHFP24}, volume = 45, year = 2024 }