Chen, Shaoxuan, Kevrekidis, Panayotis G, Zhang, Hong-Kun, and Zhu, Wei. Data-driven discovery of conservation laws from trajectories via neural deflation. Retrieved from https://par.nsf.gov/biblio/10611853. Communications in Nonlinear Science and Numerical Simulation 143.C Web. doi:10.1016/j.cnsns.2024.108563.

Chen, Shaoxuan, Kevrekidis, Panayotis G, Zhang, Hong-Kun, & Zhu, Wei. Data-driven discovery of conservation laws from trajectories via neural deflation. Communications in Nonlinear Science and Numerical Simulation, 143 (C). Retrieved from https://par.nsf.gov/biblio/10611853. https://doi.org/10.1016/j.cnsns.2024.108563

Chen, Shaoxuan, Kevrekidis, Panayotis G, Zhang, Hong-Kun, and Zhu, Wei. "Data-driven discovery of conservation laws from trajectories via neural deflation". Communications in Nonlinear Science and Numerical Simulation 143 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.cnsns.2024.108563. https://par.nsf.gov/biblio/10611853.

@article{osti_10611853,
place = {Country unknown/Code not available}, title = {Data-driven discovery of conservation laws from trajectories via neural deflation}, url = {https://par.nsf.gov/biblio/10611853}, DOI = {10.1016/j.cnsns.2024.108563}, abstractNote = {}, journal = {Communications in Nonlinear Science and Numerical Simulation}, volume = {143}, number = {C}, publisher = {Elsevier}, author = {Chen, Shaoxuan and Kevrekidis, Panayotis G and Zhang, Hong-Kun and Zhu, Wei}, }