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%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
}