Shao Yi Wang
China Academy of Engineering Physics
6 Papers
1 Citations
Shao Yi Wang is an academic researcher from China Academy of Engineering Physics. The author has contributed to research in topics: Laser & Acceleration. The author has an hindex of 1, co-authored 1 publications.
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Papers
Recent progress in research on the dynamic process of high-energy explosives through pump-probe experiments at high-intensity laser facilities
Genbai Chu,Tao Xi,Shao Yi Wang,Min Shui,Yongfu Yan,Yaohua Wang,Ming-hai Yu,Xiao-Hui Zhang,Fang Tan,Jianting Xin,Liang Wang,Yuchi Wu,Jingna Su,Wei Zhou +13 more
TL;DR: In this paper , the authors introduce the time-resolved pump-probe experiments capabilities aiming at high-energy explosives based on large-scale laser facilities and present the recent progress in research on the dynamic process of the explosives, obtaining the following understandings: (1) a micron-sized single-crystal 1,3,5-triamino-2,4,6-trinitrobenzene (TATB) can be compressed to an overdriven detonation state at a laser facility, followed by the shock Hugoniot measurements of TATB.
4
Structure and material study of dielectric laser accelerators based on the inverse Cherenkov effect
TL;DR: In this paper , various combinations of dielectric materials and accelerated structures based on the inverse Cherenkov effect were explored to enhance the gradient of acceleration and the electron energy gain.
1
Selective amplification of the chirped attosecond pulses produced from relativistic electron mirrors
Tan Fang,Shao Yi Wang,Bo Zhang,Zhi Meng Zhang,Bin Zhu,Yuchi Wu,Ming Hai Yu,Yang Yue,Gang Li,Tian Kui Zhang,Yong Hong Yan,Feng Lu,Wei Fan,Wei Ming Zhou,Yu Qiu Gu +14 more
TL;DR: In this paper, the generation of relativistic electron mirrors and the reflection of an ultra-short laser off this mirrors are discussed, applying two-dimensional particle-in-cell (2D-PIC) simulations.
An optimized online filter stack spectrometer
Jiaqi Wen,Gengyu Ma,Minghai Yu,Yuchi Wu,Yongfu Yan,Shao Yi Wang,Huai-zhong Gao,Lu Wang,Yu-gang Zhou,Qiang Li,Yue Yang,Fang Tan,Xiao-Hui Zhang,Jie Zhang,Wenbo Mo,Jingqin Su,Wei Zhou,Yuqiu Gu,Zongqin Zhao,Ming Zeng +19 more
- 29 Jan 2023
TL;DR: In this paper , the authors used a genetic algorithm to optimize the arrangement of the X-ray sensors and filters by minimizing the condition number of the response matrix, thus the unfolding error can be significantly decreased according to the numerical experiments.