- Published
- 2021-03-18
- Venue
- Nature Machine Intelligence, vol. 3, no. 3, pp. 218-229
- Cited by
- 3,595
- Open access
- Yes, green
- DOI
- 10.1038/s42256-021-00302-5
Cite this paper
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- APA 7
Lu, L., Jin, P., Pang, G., Zhang, Z., & Karniadakis, G. E. (2021). Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators. Nature Machine Intelligence, 3(3), 218–229. https://doi.org/10.1038/s42256-021-00302-5
- MLA 9
Lu, Lu, et al. "Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators." Nature Machine Intelligence, vol. 3, no. 3, 2021, pp. 218–229, https://doi.org/10.1038/s42256-021-00302-5.
- Chicago
Lu, Lu, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, and George Em Karniadakis. "Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators." Nature Machine Intelligence 3, no. 3 (2021): 218–229. https://doi.org/10.1038/s42256-021-00302-5.
- GOST
Lu L., Jin P., Pang G. [и др.] Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators // Nature Machine Intelligence. — 2021. — Vol. 3, № 3. — P. 218–229. — URL: https://doi.org/10.1038/s42256-021-00302-5
- BibTeX
@article{lu2021learning, title = {{Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators}}, author = {Lu Lu and Pengzhan Jin and Guofei Pang and Zhongqiang Zhang and George Em Karniadakis}, journal = {Nature Machine Intelligence}, year = {2021}, volume = {3}, number = {3}, pages = {218--229}, doi = {10.1038/s42256-021-00302-5}, url = {https://doi.org/10.1038/s42256-021-00302-5} }- RIS
TY - JOUR AU - Lu, Lu AU - Jin, Pengzhan AU - Pang, Guofei AU - Zhang, Zhongqiang AU - Karniadakis, George Em TI - Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators JO - Nature Machine Intelligence VL - 3 IS - 3 SP - 218 EP - 229 PY - 2021 DA - 2021/03/18 DO - 10.1038/s42256-021-00302-5 UR - https://doi.org/10.1038/s42256-021-00302-5 ER -