I’m participating in Google Summer of Code 2025 working on the project titled “Using Data-Driven, Physics-Informed Machine Learning to Model Fluid Properties in Computational Fluid Dynamics” with the organization Stitching SU2. This page chronicles my weekly progress, challenges, and learnings throughout the program.
This project proposes to enhance SU2’s CFD capabilities by optimizing the MLPCpp Neural Network module in the Non-Ideal Compressible Fluid Dynamics framework through performance improvements and better inverse regression, delivered via a tutorial and a code update with benchmarks.
Published:
A step-by-step guide for beginners to set up a modern development environment for contributing to large open-source C++ projects using GitHub, VS Code, GDB, and gprof.
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Week 0 of GSoC: Community Bonding, Setting Up the SU2 Development Environment, and Exploring the Codebase