%0 Journal Article %1 journals/natmi/LuJPZK21 %A Lu, Lu %A Jin, Pengzhan %A Pang, Guofei %A Zhang, Zhongqiang %A Karniadakis, George Em %D 2021 %J Nat. Mach. Intell. %K dblp %N 3 %P 218-229 %T Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. %U http://dblp.uni-trier.de/db/journals/natmi/natmi3.html#LuJPZK21 %V 3

@article{journals/natmi/LuJPZK21, added-at = {2021-12-15T00:00:00.000+0100}, author = {Lu, Lu and Jin, Pengzhan and Pang, Guofei and Zhang, Zhongqiang and Karniadakis, George Em}, biburl = {https://www.bibsonomy.org/bibtex/21abea0e79492047df6d659dd7f72c89a/dblp}, ee = {https://doi.org/10.1038/s42256-021-00302-5}, interhash = {f552a02c266b533a6b79082b264696c6}, intrahash = {1abea0e79492047df6d659dd7f72c89a}, journal = {Nat. Mach. Intell.}, keywords = {dblp}, number = 3, pages = {218-229}, timestamp = {2024-04-08T20:50:39.000+0200}, title = {Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.}, url = {http://dblp.uni-trier.de/db/journals/natmi/natmi3.html#LuJPZK21}, volume = 3, year = 2021 }