APA (7th ed.) Citation

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

Chicago Style (17th ed.) Citation

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.

MLA (9th ed.) Citation

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.