Xiangyang Yu (Young) is a PhD candidate at Zhejiang University, working on physics-informed neural networks (PINNs) and multiphysics coupled numerical computation.
His work spans complete projects from partial differential equation modelling and neural-network solvers to embedded hardware and edge deployment. He has co-authored two papers in SCI Q1 journals and has two invention patent applications under examination (see Publications & Patents).
This site records research notes, engineering projects and small self-developed tools; comments and discussion are welcome (Guestbook).
For a quick overview of the author and his projects, the on-site AI assistant can be consulted directly: Young’s LLM. It introduces the relevant content together with links to the corresponding pages.

