A generative deep learning and explainable machine learning framework for heat transfer prediction and analysis in porous structures with oscillatory flows

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number129332
JournalApplied Thermal Engineering
Volume286
DOIs
StatePublished - Feb 2026
Externally publishedYes

ASJC Scopus Subject Areas

  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Fluid Flow and Transfer Processes
  • Industrial and Manufacturing Engineering

Keywords

  • Convective heat transfer
  • Generative deep learning
  • Interpretable machine learning
  • Oscillating flow
  • Porous media
  • SHAP analysis
  • Thermal performance

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