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Advances in Computational Intelligence for Environmental Fluid Mechanics

This special issue belongs to the section "Computational Intelligence".

Special Issue Information

Keywords

  • computational intelligence
  • environmental fluid mechanics
  • computational fluid dynamics (CFD)
  • graph neural networks (GNN)
  • physics-informed neural networks (PINN)
  • atmospheric dispersion modelling
  • inverse modelling
  • source term estimation
  • urban air quality
  • wind energy
  • turbulence modelling
  • porous media flow
  • high-performance computing (HPC)
  • machine learning for fluid dynamics
  • hazardous release risk assessment

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Published Papers

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Computation - ISSN 2079-3197