Goswami, S., Yin, M., Yu, Y., & Karniadakis, G. E. (2022). A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials. Computer methods in applied mechanics and engineering, 391(C), 114587. https://doi.org/10.1016/j.cma.2022.114587
Chicago Style (17th ed.) CitationGoswami, Somdatta, Minglang Yin, Yue Yu, and George Em Karniadakis. "A Physics-informed Variational DeepONet for Predicting Crack Path in Quasi-brittle Materials." Computer Methods in Applied Mechanics and Engineering 391, no. C (2022): 114587. https://doi.org/10.1016/j.cma.2022.114587.
MLA (9th ed.) CitationGoswami, Somdatta, et al. "A Physics-informed Variational DeepONet for Predicting Crack Path in Quasi-brittle Materials." Computer Methods in Applied Mechanics and Engineering, vol. 391, no. C, 2022, p. 114587, https://doi.org/10.1016/j.cma.2022.114587.