Hi there! I'm Shilaj 👋

• 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.

• 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.

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