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Jadavpur University
- Kolkata, India
- in/ayushganguly
Popular repositories Loading
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Application-of-Machine-Learning-in-Solving-Dynamic-Flow-problems
Application-of-Machine-Learning-in-Solving-Dynamic-Flow-problems PublicThe work involved building and investigation of a Physics Involved Neural Network (PINN) to address a classic benchmark problem in computational fluid dynamics (CFD). The impact of the weights of t…
Python
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boussinesq_equation_pinn
boussinesq_equation_pinn PublicA Physics Informed Neural Network is developed to solve the 4th order boussinesq's equation. The work is very much rooted in the first principles of PINNs given by Raissi [2019].
Python
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data_efficient_PINN_for_multiphysics
data_efficient_PINN_for_multiphysics PublicA data efficient Physics Informed Neural Network (PINN) for simulating multi-physics systems in a data scarce environment. The investigated problem is a classical buoyancy driven mixed convection s…
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TriplaneVAE-for-super-resolution-of-turbulent-channel-flow
TriplaneVAE-for-super-resolution-of-turbulent-channel-flow Public3D spatial super-resolution of turbulent flows by a Triplane Variational Auto Encoder (TriplaneVAE)
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Aeroelastic-flutter-of-a-2-degree-of-freedom-aerofoil
Aeroelastic-flutter-of-a-2-degree-of-freedom-aerofoil PublicAeroelastic flutter response of a 2 degree of freedom aerofoil is analysed.
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