%0 Journal Article %1 journals/ncs/XuRA22 %A Xu, Wenbin %A Reuter, Karsten %A Andersen, Mie %D 2022 %J Nat. Comput. Sci. %K dblp %N 7 %P 443-450 %T Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation. %U http://dblp.uni-trier.de/db/journals/ncs/ncs2.html#XuRA22 %V 2

@article{journals/ncs/XuRA22, added-at = {2024-04-27T00:00:00.000+0200}, author = {Xu, Wenbin and Reuter, Karsten and Andersen, Mie}, biburl = {https://www.bibsonomy.org/bibtex/2bcf92be8ed0bbee04e350f84ea3e4ce6/dblp}, ee = {https://doi.org/10.1038/s43588-022-00280-7}, interhash = {46d099f6714a3baa64992450071de2c0}, intrahash = {bcf92be8ed0bbee04e350f84ea3e4ce6}, journal = {Nat. Comput. Sci.}, keywords = {dblp}, number = 7, pages = {443-450}, timestamp = {2024-05-06T07:07:47.000+0200}, title = {Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation.}, url = {http://dblp.uni-trier.de/db/journals/ncs/ncs2.html#XuRA22}, volume = 2, year = 2022 }