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shilaj/README.md

Fluid Dynamics Meets Deep Learning πŸŒŠπŸ€–

Hi there! I'm Shilaj πŸ‘‹

πŸ”¬ Research Interests

  • Developing Deep Learning models for accelerating fluid simulations.
  • Exploring novel DL architectures for turbulence modeling.
  • Integrating DL with traditional CFD solvers like OpenFOAM.
  • Pushing the boundaries of computational efficiency and accuracy.

πŸš€ Current Projects

  • ML-CFD Computation: A cross-computation framework implementing RePIT strategy.
  • DL-AcceleratedCFD: A deep learning framework for accelerating OpenFOAM simulations.
  • PhysicsInformedNNs: Leveraging Physics-Informed Neural Networks (PINNs) for fluid dynamics.

🌐 Let's Connect

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  1. myblog myblog Public

    This is to host my personal website.

    HTML

  2. PhyGeoNet PhyGeoNet Public

    Forked from Jianxun-Wang/phygeonet

    PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain

    C++