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researcher

Peyman Mostaghimi

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
  • eess.IV1
ORCID 0000-0002-2071-6247

identity via Semantic Scholar / OpenAlex

most citedA comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution

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

collaborators

3 papers

physics.flu-dyn2023

The impact of wettability on the co-moving velocity of two-fluid flow in porous media

Fatimah Alzubaidi, James E. McClure, Håkon Pedersen +4

The impact of wettability on the co-moving velocity of two-fluid flow in porous media is analyzed herein. The co-moving velocity, developed by Roy et al. (2022), is a novel represe…

physics.flu-dyn2023

Controlled Ion Transport in the Subsurface: A Coupled Advection-Diffusion-Electromigration System

Kunning Tang, Zhenkai Bo, Zhe Li +5

Groundwater pollution poses a significant threat to environmental sustainability during urbanization. Existing remediation methods like pump-and-treat and electrokinetics have limi…

eess.IV2021★ 3 cited

A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution

Yufu Niu, Samuel J. Jackson, Naif Alqahtani +2

X-ray micro-computed tomography (micro-CT) has been widely leveraged to characterise pore-scale geometry in subsurface porous rock. Recent developments in super resolution (SR) met…

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