2 citations · 2 across the 2 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…
cs.LG2025
Learning multi-phase flow and transport in fractured porous media with auto-regressive and recurrent graph neural networks
Mohammed Al Kobaisi, Wenjuan Zhang, Waleed Diab +1
In the past three decades, a wide array of computational methodologies and simulation frameworks has emerged to address the complexities of modeling multi-phase flow and transport…
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…