Goswami, Somdatta, Yin, Minglang, Yu, Yue, and Karniadakis, George Em. A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials. Retrieved from https://par.nsf.gov/biblio/10338404. Computer Methods in Applied Mechanics and Engineering 391.C Web. doi:10.1016/j.cma.2022.114587.

Goswami, Somdatta, Yin, Minglang, Yu, Yue, & Karniadakis, George Em. A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials. Computer Methods in Applied Mechanics and Engineering, 391 (C). Retrieved from https://par.nsf.gov/biblio/10338404. https://doi.org/10.1016/j.cma.2022.114587

Goswami, Somdatta, Yin, Minglang, Yu, Yue, and Karniadakis, George Em. "A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials". Computer Methods in Applied Mechanics and Engineering 391 (C). Country unknown/Code not available. https://doi.org/10.1016/j.cma.2022.114587. https://par.nsf.gov/biblio/10338404.

@article{osti_10338404,
place = {Country unknown/Code not available}, title = {A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials}, url = {https://par.nsf.gov/biblio/10338404}, DOI = {10.1016/j.cma.2022.114587}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {391}, number = {C}, author = {Goswami, Somdatta and Yin, Minglang and Yu, Yue and Karniadakis, George Em}, }