金沙贵宾3777线路检测中心

Fuyuan Wu is an associate investigator and master supervisor at School of Physics and Astronomy, Shanghai Jiao Tong University. He is a recipient of the Shanghai Pujiang Talent Program, the Chief Scientific Researcher of the IAEA International Collaborative Research Project on AI4Fusion. His research mainly focuses on artificial intelligence-enabled theoretical simulations, experimental design and data analysis for inertial confinement fusion, especially the physical design and experimental analysis of the Double-Cone Ignition (DCI) laser fusion scheme. 

Fuyuan Wu received his B.S. degree from Xi'an Jiaotong University in 2012 and his Ph.D. degree from the Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics in 2017. From 2017 to 2020, he conducted postdoctoral research at the National University of Defense Technology and the Technical University of Madrid (Spain) successively. 

Since 2015, he has maintained a long-term close collaboration with Prof. Rafael Ramis, the developer of the MULTI code. He has deeply participated in the upgrade and development of the MULTI-IFE/2D/3D codes, which have been applied to studies on laser fusion, Z-pinch fusion and high-energy-density physics. 

Dr. Wu has presided over and is presiding over several research projects, including the Shanghai Pujiang Talent Program, a key project of the Strategic Priority Research Program of the Chinese Academy of Sciences, the National Natural Science Foundation of China, and the IAEA International Coordinated Research Project. 

He has published 27 high-level academic papers in journals including Nuclear Fusion, Matter and Radiation at Extremes, High Power Laser Science and Engineering. His research findings have been cited in the Encyclopedia of Nuclear Energy (United States), featured once in SciLight by the American Institute of Physics, and one paper was selected as a Highly Cited Paper by Acta Physica Sinica. He has applied for or been granted 4 invention patents.

中科院先导专项A类课题，一项

国家自然科学青年基金，一项

上海市浦江人才计划项目，一项

国际原子能机构国际协调研究项目，一项

上海交通大学青年教师启动计划基金，一项

1. “Machine-learning guided optimization of laser pulses for direct-drive implosions”. Fuyuan Wu, Xiaohu Yang, Yanyun Ma, Qi Zhang, Zhe Zhang, Xiaohui Yuan, Hao Liu, Zhengdong Liu, Jiayong Zhong, Jian Zheng, Yutong Li, Jie Zhang.

High Power Laser Science and Engineering, 1-10, (2022).

2."Double-cone ignition scheme for inertial confinement fusion", J. Zhang, W. M. Wang, X. H. Yang, D. Wu, Y. Y. Ma, J. L. Jiao, Z. Zhang, F. Y. Wu, X. H. Yuan, Y. T. Li and J. Q. Zhu.

Philosophical Transactions of the Royal Society A, 2020, 378(2184): 20200015.

3."Numerical studies on the radiation uniformity of Z-pinch dynamic hohlraum.", FY Wu, YY Chu, R Ramis, ZH Li, YY Ma, JL Yang, Z Wang.

Matter and Radiation at Extremes 3 248-255, (2018).

4."A conservative MHD scheme on unstructured Lagrangian grids for Z-pinch hydrodynamic simulations", FY Wu, R Ramis, ZH Li.
Journal of Computational Physics 357, 206-229 (2018).

5."Geometrical optimization of quasi-spherical wire-array implosion", FY Wu, YY Chu, Z Wang, ZH Li, F Ye, DY Chen, JL Yang, RK Xu, ZP Xu.
The European Physical Journal D 71 270 (2017).

6."One-dimensional numerical investigation on the formation of Z-pinch dynamic hohlraum using the code MULTI", FY Wu, YY Chu, F Ye, ZH Li, JL Yang, R Ramis, Z Wang, JM Qi, L Zhou, C Liang.
Acta Physica Sinica 66 215201-215201 (2017).

7."Numerical Simulation of the Interaction Between Z-Pinch Plasma and Foam Converter Using Code MULTI", FY Wu, R Ramis, ZH Li, YY Chu, JL Yang, Z Wang, SJ Meng, ZC Huang, JM Ning.
Fusion Science and Technology 72 726-730 (2017).

8.“Numerical simulation on a new cylindrical target for Z-pinch driven inertial confinement fusion”, YY Chu, Z Wang, JM Qi, FY Wu, ZH Li.
Nuclear Fusion 57, 066019 (2017).

9."高能γ探测系统中的光耦合部件参数优化", 吴福源, 张凤娜, 高永凤, 陶仕达, 王云海, 贾清刚, 胡华四.

强激光与粒子束 25(1) 169(2013).

10.“Experimental Demonstration of Efficient Harmonic Generation via Surface Plasma Compression with Lasers”，B. Y. Li, F. Liu, M. Chen, F. Y. Wu, J. W. Wang, L. Lu, J. L. Li, X. L. Ge, X. H. Yuan, W. C. Yan, L. M. Chen, Z. M. Sheng, and J. Zhang.

Phys. Rev. Lett. 128, 244801(2022)

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