DEEP LEARNING-ASSISTED PREDICTION OF POROUS STRUCTURES FOR ENHANCED HEAT TRANSFER WITH OSCILLATING FLOWS IN POROUS MEDIA

Research output: Contribution to journalConference articlepeer-review

Original languageEnglish
Pages (from-to)1141-1147
Number of pages7
JournalProceedings of the Thermal and Fluids Engineering Summer Conference
DOIs
StatePublished - 2025
Externally publishedYes
Event10th Thermal and Fluids Engineering Conference, TFEC 2025 - Washington, United States
Duration: Mar 9 2025Mar 12 2025

ASJC Scopus Subject Areas

  • Renewable Energy, Sustainability and the Environment
  • Condensed Matter Physics
  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes
  • Electrical and Electronic Engineering

Keywords

  • Computational Fluid Dynamics (CFD)
  • Deep Learning
  • Generative Adversarial Network (GAN)
  • Heat Transfer Enhancement
  • Lattice Boltzmann Method (LBM)
  • Porous Structures

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