%0 Journal Article %1 journals/jcisd/NguyenLKKHH21 %A Nguyen, Phan %A Loveland, Donald %A Kim, Joanne Taery %A Karande, Piyush %A Hiszpanski, Anna M. %A Han, Thomas Yong-Jin %D 2021 %J J. Chem. Inf. Model. %K dblp %N 5 %P 2147-2158 %T Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning. %U http://dblp.uni-trier.de/db/journals/jcisd/jcisd61.html#NguyenLKKHH21 %V 61

@article{journals/jcisd/NguyenLKKHH21, added-at = {2023-08-31T00:00:00.000+0200}, author = {Nguyen, Phan and Loveland, Donald and Kim, Joanne Taery and Karande, Piyush and Hiszpanski, Anna M. and Han, Thomas Yong-Jin}, biburl = {https://www.bibsonomy.org/bibtex/2ce4d289e7a9ebc884585790e0d821373/dblp}, ee = {https://doi.org/10.1021/acs.jcim.0c01318}, interhash = {82c403f86cd5257fe7b0dd171c3cfcd1}, intrahash = {ce4d289e7a9ebc884585790e0d821373}, journal = {J. Chem. Inf. Model.}, keywords = {dblp}, number = 5, pages = {2147-2158}, timestamp = {2024-04-08T17:29:20.000+0200}, title = {Predicting Energetics Materials' Crystalline Density from Chemical Structure by Machine Learning.}, url = {http://dblp.uni-trier.de/db/journals/jcisd/jcisd61.html#NguyenLKKHH21}, volume = 61, year = 2021 }