Hi there! I'm Shilaj π
- 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.