7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena
W. Diab, M. Al-Kobaisi
Neural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces. Neural Operators such as the…
physics.comp-ph2023★ 2 cited
U-DeepONet: U-Net Enhanced Deep Operator Network for Geologic Carbon Sequestration
Waleed Diab, Mohammed Al-Kobaisi
FNO and DeepONet are by far the most popular neural operator learning algorithms. FNO seems to enjoy an edge in popularity due to its ease of use, especially with high dimensional…
physics.flu-dyn2021★ 7 cited
PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function
Waleed Diab, Mohammed Al Kobaisi
The displacement of two immiscible fluids is a common problem in fluid flow in porous media. Such a problem can be posed as a partial differential equation (PDE) in what is commonl…