1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.NA2024
Neural network Approximations for Reaction-Diffusion Equations -- Homogeneous Neumann Boundary Conditions and Long-time Integrations
Eddel Elí Ojeda Avilés, Jae-Hun Jung, Daniel Olmos Liceaga
Reaction-Diffusion systems arise in diverse areas of science and engineering. Due to the peculiar characteristics of such equations, analytic solutions are usually not available an…
math.NA2024★ 1 cited
Stratified Sampling Algorithms for Machine Learning Methods in Solving Two-scale Partial Differential Equations
Eddel Elí Ojeda Avilés, Daniel Olmos-Liceaga, Jae-Hun Jung
Partial differential equations (PDEs) with multiple scales or those defined over sufficiently large domains arise in various areas of science and engineering and often present prob…