Towards Physics-Informed Machine Learning with SU2
Contributor: abdulrahman_12
This proposal combines the MLPCpp submodule and Algorithmic Differentiation (CoDi) natively in SU2 for in-solver training, allowing researcher to...
Computational Fluid Dynamics and Optimization
Contributor: abdulrahman_12
This proposal combines the MLPCpp submodule and Algorithmic Differentiation (CoDi) natively in SU2 for in-solver training, allowing researcher to...
Contributor: ddg93
The SU2 code relies heavily on sparse linear algebra, and there is significant speed-up potential in this area through GPU-based processing. In the...
Contributor: Thijs Aalbers
The proposed project involves the addition of a pressure-based solver to the SU2 code base. The pressure-based solver is an important algorithm in...
Contributor: _Urvi_07
This project improves the SU2 GUI by making it more user-friendly and efficient. It integrates the Python wrapper for smoother simulations, adds...
Contributor: Divyaprakash
This project aims to enhance SU2's computational fluid dynamics (CFD) capabilities by optimizing the Neural Network implementation (MLPCpp) within...
Contributor: Harsh@2004
This project aims to automate and expand SU2’s testing and validation framework to ensure both numerical correctness and physical fidelity. By...
Contributor: VaishnaviGupta
The main aim of this project is to link generic Python functions to SU2 to facilitate data-driven fluid modeling while simultaneously enabling...
Contributor: Areen Raj
The following project involves the GPU acceleration of Linear Algebra Computations in SU2. The approach is two pronged, making use of both NvBLAS and...
Contributor: Ujjawal Agrawal
The project aims to finalize core functionality regarding initialization of problems and visualization of results using Paraview within the SU2 GUI...