The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program . You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
Jae Yong Lee , Jin Woo Jang , Hyung Ju Hwang
ESAIM: M2AN, 55 5 (2021) 1803-1846
Published online: 2021-09-17
This article has been cited by the following article(s):
7 articles
A Vlasov-Fokker-Planck-Landau code for the simulation of colliding supersonic dense plasma flows
Hanzhi Zhao, Suming Weng, Zhengming Sheng, Shi Jin and Jie Zhang Journal of Computational Physics 503 112843 (2024) https://doi.org/10.1016/j.jcp.2024.112843
A conservative hybrid deep learning method for Maxwell–Ampère–Nernst–Planck equations
Cheng Chang, Zhouping Xin and Tieyong Zeng Journal of Computational Physics 501 112791 (2024) https://doi.org/10.1016/j.jcp.2024.112791
Corrosion Modeling of Aluminum Alloys: A Brief Review
A. Ruiz‐Garcia, V. Esquivel‐Peña, F. A. Godínez and R. Montoya ChemElectroChem 11 (9) (2024) https://doi.org/10.1002/celc.202300712
The Deep Minimizing Movement Scheme
Min Sue Park, Cheolhyeong Kim, Hwijae Son and Hyung Ju Hwang Journal of Computational Physics 112518 (2023) https://doi.org/10.1016/j.jcp.2023.112518
opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation
Jae Yong Lee, Juhi Jang and Hyung Ju Hwang Journal of Computational Physics 480 112031 (2023) https://doi.org/10.1016/j.jcp.2023.112031
Solving multiscale steady radiative transfer equation using neural networks with uniform stability
Yulong Lu, Li Wang and Wuzhe Xu Research in the Mathematical Sciences 9 (3) (2022) https://doi.org/10.1007/s40687-022-00345-z
Lagrangian dual framework for conservative neural network solutions of kinetic equations
Hyung Ju Hwang and Hwijae Son Kinetic and Related Models 15 (4) 551 (2022) https://doi.org/10.3934/krm.2021046