Ren, Pu, Rao, Chengping, Liu, Yang, Wang, Jian-Xun, and Sun, Hao. PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs. Retrieved from https://par.nsf.gov/biblio/10311897. Computer Methods in Applied Mechanics and Engineering 389.C Web. doi:10.1016/j.cma.2021.114399.

Ren, Pu, Rao, Chengping, Liu, Yang, Wang, Jian-Xun, & Sun, Hao. PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs. Computer Methods in Applied Mechanics and Engineering, 389 (C). Retrieved from https://par.nsf.gov/biblio/10311897. https://doi.org/10.1016/j.cma.2021.114399

Ren, Pu, Rao, Chengping, Liu, Yang, Wang, Jian-Xun, and Sun, Hao. "PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs". Computer Methods in Applied Mechanics and Engineering 389 (C). Country unknown/Code not available. https://doi.org/10.1016/j.cma.2021.114399. https://par.nsf.gov/biblio/10311897.

@article{osti_10311897,
place = {Country unknown/Code not available}, title = {PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs}, url = {https://par.nsf.gov/biblio/10311897}, DOI = {10.1016/j.cma.2021.114399}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {389}, number = {C}, author = {Ren, Pu and Rao, Chengping and Liu, Yang and Wang, Jian-Xun and Sun, Hao}, }