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researcher

M. A. Al Kobaisi

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.NA2
  • physics.comp-ph2

identity via Semantic Scholar / OpenAlex

most citedU-DeepONet: U-Net Enhanced Deep Operator Network for Geologic Carbon Sequestration

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

2 papers · 1 filter

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.comp-ph2023

Learning Generic Solutions for Multiphase Transport in Porous Media via the Flux Functions Operator

Waleed Diab, Omar Chaabi, Shayma Alkobaisi +2

Traditional numerical schemes for simulating fluid flow and transport in porous media can be computationally expensive. Advances in machine learning for scientific computing have t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.