Chen, Y., & Koohy, S. (2024). GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs. Finite elements in analysis and design, 228, 104047. https://doi.org/10.1016/j.finel.2023.104047
Chicago-Zitierstil (17. Ausg.)Chen, Yanlai, und Shawn Koohy. "GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks Toward Non-intrusive Meta-learning of Parametric PDEs." Finite Elements in Analysis and Design 228 (2024): 104047. https://doi.org/10.1016/j.finel.2023.104047.
MLA-Zitierstil (9. Ausg.)Chen, Yanlai, und Shawn Koohy. "GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks Toward Non-intrusive Meta-learning of Parametric PDEs." Finite Elements in Analysis and Design, vol. 228, 2024, p. 104047, https://doi.org/10.1016/j.finel.2023.104047.