Huang, Yao, Hao, Wenrui, and Lin, Guang. HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations. Retrieved from https://par.nsf.gov/biblio/10343311. Computers & Mathematics with Applications 121.C Web. doi:10.1016/j.camwa.2022.07.002.

Huang, Yao, Hao, Wenrui, & Lin, Guang. HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations. Computers & Mathematics with Applications, 121 (C). Retrieved from https://par.nsf.gov/biblio/10343311. https://doi.org/10.1016/j.camwa.2022.07.002

Huang, Yao, Hao, Wenrui, and Lin, Guang. "HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations". Computers & Mathematics with Applications 121 (C). Country unknown/Code not available. https://doi.org/10.1016/j.camwa.2022.07.002. https://par.nsf.gov/biblio/10343311.

@article{osti_10343311,
place = {Country unknown/Code not available}, title = {HomPINNs: Homotopy physics-informed neural networks for learning multiple solutions of nonlinear elliptic differential equations}, url = {https://par.nsf.gov/biblio/10343311}, DOI = {10.1016/j.camwa.2022.07.002}, abstractNote = {}, journal = {Computers & Mathematics with Applications}, volume = {121}, number = {C}, author = {Huang, Yao and Hao, Wenrui and Lin, Guang}, }