Search results
Mar 18, 2021 · Pengzhan Jin, Guofei Pang, Zhongqiang Zhang & George Em Karniadakis. Nature Machine Intelligence 3 , 218–229 ( 2021) Cite this article. 31k Accesses. 631 Citations. 179 Altmetric. Metrics....
- Lu Lu, Pengzhan Jin, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, George Em Karniadakis
- 2021
Lu Lu 1, Pengzhan Jin2, Guofei Pang , Zhongqiang Zhang3, and George Em Karniadakis1,* 1 Division of Applied Mathematics, Brown University, Providence, RI 02912, USA 2 LSEC, ICMSEC, Academy of Mathematics and Systems Science, Chinese Academy of
Oct 8, 2019 · Computer Science > Machine Learning. [Submitted on 8 Oct 2019 ( v1 ), revised 14 Apr 2020 (this version, v2), latest version 15 Apr 2020 ( v3 )] DeepONet: Learning nonlinear operators based on the universal approximation theorem of operators. Lu Lu, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, George Em Karniadakis.
- Lu Lu, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, George Em Karniadakis
- 2019
Mar 18, 2021 · Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Journal Article · Thu Mar 18 00:00:00 EDT 2021 · Nature Machine Intelligence. DOI: https://doi.org/10.1038/s42256-021-00302-5 · OSTI ID: 2281727.
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Lu, Lu; Jin Pengzhan; Pang Guofei; Zhang Zhongqiang; Karniadakis George Em. Nature Machine Intelligence; Basingstoke Vol. 3, Iss. 3, (Mar 2021): 218-229. DOI:10.1038/s42256-021-00302-5.
Mar 1, 2021 · PDF | It is widely known that neural networks (NNs) are universal approximators of continuous functions. However, a less known but powerful result is... | Find, read and cite all the research you ...
Oct 8, 2019 · Corpus ID: 233822586. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Lu Lu, Pengzhan Jin, +2 authors. G. Karniadakis. Published in Nature Machine Intelligence 8 October 2019. Computer Science, Mathematics. TLDR.
