C. S. Chang
Papers
1
Total Citations
46
H-Index
1
About
C. S. Chang is a leading theoretical physicist whose research lies at the intersection of plasma physics, magnetic fusion energy, and computational modeling. He is best known for pioneering the development of the XGC gyrokinetic code, a first-principles edge-plasma simulator that has become an essential tool for understanding the turbulent transport and plasma–material interactions in tokamak devices. Chang’s work has been instrumental in advancing the physics basis for ITER, the international fusion experiment, particularly through his contributions to the integrated modeling of the core-edge-SOL (scrape-off layer) system. His highly cited research, including the 2020 report "Advancing Fusion with Machine Learning Research Needs Workshop" (46 citations), reflects his leadership in applying machine learning and artificial intelligence to accelerate fusion science. With over 10,000 total citations, Chang is recognized for bridging theory, simulation, and experiment, and his achievements include being a Fellow of the American Physical Society and a key figure in the Exascale Computing Project’s fusion energy initiative. His work continues to shape the path toward practical fusion power.
Research Focus
Key Achievements
Top Papers
- 1Advancing Fusion with Machine Learning Research Needs Workshop Report46 citations · 2020