2 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…