%0 Journal Article %1 journals/jcisd/BaileyJBWHM23 %A Bailey, Tom %A Jackson, Adam %A Berbece, Razvan-Antonio %A Wu, Kejun %A Hondow, Nicole %A Martin, Elaine B. %D 2023 %J J. Chem. Inf. Model. %K dblp %N 15 %P 4545-4551 %T Gradient Boosted Machine Learning Model to Predict H2, CH4, and CO2 Uptake in Metal-Organic Frameworks Using Experimental Data. %U http://dblp.uni-trier.de/db/journals/jcisd/jcisd63.html#BaileyJBWHM23 %V 63

@article{journals/jcisd/BaileyJBWHM23, added-at = {2024-04-17T00:00:00.000+0200}, author = {Bailey, Tom and Jackson, Adam and Berbece, Razvan-Antonio and Wu, Kejun and Hondow, Nicole and Martin, Elaine B.}, biburl = {https://www.bibsonomy.org/bibtex/283c6303d20a44dea78f6650e485adf0e/dblp}, ee = {https://doi.org/10.1021/acs.jcim.3c00135}, interhash = {0e71a9daa54515361ca0184eb0c98b54}, intrahash = {83c6303d20a44dea78f6650e485adf0e}, journal = {J. Chem. Inf. Model.}, keywords = {dblp}, month = {August}, number = 15, pages = {4545-4551}, timestamp = {2024-04-22T07:07:38.000+0200}, title = {Gradient Boosted Machine Learning Model to Predict H2, CH4, and CO2 Uptake in Metal-Organic Frameworks Using Experimental Data.}, url = {http://dblp.uni-trier.de/db/journals/jcisd/jcisd63.html#BaileyJBWHM23}, volume = 63, year = 2023 }