Cite
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach.
MLA
Brevis, Ignacio, et al. “Learning Quantities of Interest from Parametric PDEs: An Efficient Neural-Weighted Minimal Residual Approach.” Computers & Mathematics with Applications, vol. 164, June 2024, pp. 139–49. EBSCOhost, https://doi.org/10.1016/j.camwa.2024.04.006.
APA
Brevis, I., Muga, I., Pardo, D., Rodriguez, O., & van der Zee, K. G. (2024). Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Computers & Mathematics with Applications, 164, 139–149. https://doi.org/10.1016/j.camwa.2024.04.006
Chicago
Brevis, Ignacio, Ignacio Muga, David Pardo, Oscar Rodriguez, and Kristoffer G. van der Zee. 2024. “Learning Quantities of Interest from Parametric PDEs: An Efficient Neural-Weighted Minimal Residual Approach.” Computers & Mathematics with Applications 164 (June): 139–49. doi:10.1016/j.camwa.2024.04.006.