Wu, C., Zhu, M., Tan, Q., Kartha, Y., & Lu, L. (2023). A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks. Computer methods in applied mechanics and engineering, 403(PA), 115671. https://doi.org/10.1016/j.cma.2022.115671
Chicago Style (17th ed.) CitationWu, Chenxi, Min Zhu, Qinyang Tan, Yadhu Kartha, and Lu Lu. "A Comprehensive Study of Non-adaptive and Residual-based Adaptive Sampling for Physics-informed Neural Networks." Computer Methods in Applied Mechanics and Engineering 403, no. PA (2023): 115671. https://doi.org/10.1016/j.cma.2022.115671.
MLA (9th ed.) CitationWu, Chenxi, et al. "A Comprehensive Study of Non-adaptive and Residual-based Adaptive Sampling for Physics-informed Neural Networks." Computer Methods in Applied Mechanics and Engineering, vol. 403, no. PA, 2023, p. 115671, https://doi.org/10.1016/j.cma.2022.115671.