2 papers
cs.LG2026
Compositional Neural Operators for Multi-Dimensional Fluid Dynamics
Hamda Hmida, Hsiu-Wen Chang, Youssef Mesri
Partial differential equations (PDEs) govern diverse physical phenomena, yet high-fidelity numerical solutions are computationally expensive and Machine Learning approaches lack ge…
cs.LG2026
CompNO: A Novel Foundation Model approach for solving Partial Differential Equations
Hamda Hmida, Hsiu-Wen Chang Joly, Youssef Mesri
Partial differential equations (PDEs) govern a wide range of physical phenomena, but their numerical solution remains computationally demanding, especially when repeated simulation…