Fuyuan Wu

Fuyuan Wu is a Faculty member at the School of Physics and Astronomy, Shanghai Jiao Tong University. His research focuses on artificial intelligence-enabled theoretical simulations, experimental design, and data analysis for inertial confinement fusion, particularly the physical design and experimental analysis of the Double-Cone Ignition (DCI) laser fusion scheme. He is an associate investigator and master supervisor at the university and a recipient of the Shanghai Pujiang Talent Program. Wu is also the Chief Scientific Researcher of the IAEA International Collaborative Research Project on AI4Fusion. His work includes the development and application of the MULTI-IFE/2D/3D codes for studies on laser fusion, Z-pinch fusion, and high-energy-density physics. He has published numerous academic papers in high-level journals and holds several invention patents.

Fuyuan Wu is a researcher at Shanghai Jiao Tong University specializing in Plasma physics, Inertial Fusion, Artificial Intelligence, and Astrophysics. His work focuses on advancing inertial confinement fusion through innovative ignition schemes, such as the double-cone ignition, and leveraging machine learning for optimizing laser pulses and target compression. Wu's research includes experimental and numerical studies on plasma instabilities, radiation hydrodynamics, and Z-pinch dynamics, contributing to the understanding of laser-plasma interactions and high-gain fusion concepts. His publications highlight the development of computational models and experimental techniques to enhance fusion performance and stability.