Gao, H., Zahr, M. J., & Wang, J. (2022). Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems. Computer methods in applied mechanics and engineering, 390, 114502. https://doi.org/10.1016/j.cma.2021.114502
Citace podle Chicago (17th ed.)Gao, Han, Matthew J. Zahr, a Jian-Xun Wang. "Physics-informed Graph Neural Galerkin Networks: A Unified Framework for Solving PDE-governed Forward and Inverse Problems." Computer Methods in Applied Mechanics and Engineering 390 (2022): 114502. https://doi.org/10.1016/j.cma.2021.114502.
Citace podle MLA (9th ed.)Gao, Han, et al. "Physics-informed Graph Neural Galerkin Networks: A Unified Framework for Solving PDE-governed Forward and Inverse Problems." Computer Methods in Applied Mechanics and Engineering, vol. 390, 2022, p. 114502, https://doi.org/10.1016/j.cma.2021.114502.