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T. Mukerji

15 papers hereh-index 6277 citations44 works total

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

author position
  • middle author7
  • last author8

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • physics.geo-ph8
  • cs.LG2
  • quant-ph2
  • cs.CV1
  • physics.comp-ph1
  • physics.flu-dyn1
same name
  • T. Mukerji — 18 papers, h 48
  • T. Mukerji — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedPhysics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries

160 citations · 162 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

physics.geo-ph2024

Well log data generation and imputation using sequence-based generative adversarial networks

Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji +2

Well log analysis is crucial for hydrocarbon exploration, providing detailed insights into subsurface geological formations. However, gaps and inaccuracies in well log data, often…

physics.geo-ph2024★ 1 cited

Enhanced anomaly detection in well log data through the application of ensemble GANs

Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji +1

Although generative adversarial networks (GANs) have shown significant success in modeling data distributions for image datasets, their application to structured or tabular data, s…

physics.geo-ph2024★ 1 cited

Accelerating Multiphase Flow Simulations with Denoising Diffusion Model Driven Initializations

Jaehong Chung, Agnese Marcato, Eric J. Guiltinan +4

This study introduces a hybrid fluid simulation approach that integrates generative diffusion models with physics-based simulations, aiming at reducing the computational costs of f…

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