Speaker
Zihan Wang
(University of Science and Technology of China)
Description
Seeded free-electron lasers (FELs) have become indispensable tools across numerous scientific fields, owing to their high coherence and stability. To facilitate the discovery and optimization of such FELs, we propose a general-purpose framework utilizing intelligent optimization algorithms for identifying high-performance seeded FELs. In this paper, we demonstrate that our framework can automatically reproduce established seeded FELs, eliminating the need for prior physical analysis. Furthermore, this framework has the potential to discover novel schemes through the systematic incorporation of additional physical elements.
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Author
Zihan Wang
(University of Science and Technology of China)
Co-authors
Guangyao Feng
(University of Science and Technology of China)
Zhenghe Bai
(University of Science and Technology of China)
