Tan Shi

Dr. Tan Shi

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 September 2024 in Acta Materialia
Verified
Journal Article
Open access
YSYeran Shi
Yeran Shi
QXQiaosheng Xia
Qiaosheng Xia
MXMingda Xie
Mingda Xie
Qing ZhouQing Zhou
Qing Zhou
DHDongpeng Hua
Dongpeng Hua
WLWeimin Liu
Weimin Liu

4 March 2022 in Acta Materialia
Verified
Journal Article
Closed access
TSTan Shi
Tan Shi
ZSZhengxiong Su
Zhengxiong Su
JLJing Li
Jing Li
CLChenguang Liu
Chenguang Liu
JYJinxue Yang
Jinxue Yang
CLChenyang Lu
Chenyang Lu

19 May 2021 in Tungsten
Verified
Journal Article
Closed access
PDF file
TSTan Shi
Tan Shi
PLPenghui Lei
Penghui Lei
XYXu Yan
Xu Yan
Qing PengQing Peng
Qing Peng
YZYun-Di Zhou
Yun-Di Zhou
CLChenyang Lu
Chenyang Lu

22 October 2019 in Nanoscale
Verified
Journal Article
Closed access
PDF file
TSTan Shi
Tan Shi
Qing PengQing Peng
Qing Peng
ZBZhitong Bai
Zhitong Bai
FGFei Gao
Fei Gao
IJIgor Jovanovic
Igor Jovanovic
Various types of topological defects are produced during proton irradiation, which are crucial in functionalizing graphene, but the mechanisms of the defect generation process and the structure change are still elusive. Herein, we investigated the graphene defect generation probabilities and defect structures under proton irradiation using both ab initio and classical molecular dynamics simulations. As the proton energy increases from 0.1 keV to 100 keV, defect structures transition from single vacancy and Frenkel pairs to a rich variety of topological defects with the possibility of ejecting multiple atoms. We show that, relatively good agreement on defect generation probabilities can be reached between the two simulation approaches at a proton energy of 1 and 10 keV. However, at 0.1 keV, the single vacancy generation probability differs significantly in two methods due to the difference in the energy required to form single vacancy. Using the classical molecular dynamics simulation, we also studied the evolution of different types of defects and the dependence of their probabilities of occurrence on the proton energy and incident angle. The correlation between the impact positions and defect types allows for the convoluted relationship between the defect probabilities, geometric parameters, and proton energy to be elucidated. We show that the proton energy and incident angle can be used to effectively tune the generation probabilities of different types of defects. Our results provide insights into the controlled defect engineering through ion irradiation, which will be useful for the development of functionalized graphene and graphene electronics.

5 October 2023 in International Journal of Plasticity
Verified
Journal Article
Closed access
YZYundi Zhou
Yundi Zhou
TSTan Shi
Tan Shi
JLJing Li
Jing Li
LWLu Wu
Lu Wu
Qing PengQing Peng
Qing Peng
CLChenyang Lu
Chenyang Lu

10 December 2022 in Journal of Materials Science & Technology
Verified
Journal Article
Closed access
TSTan Shi
Tan Shi
XQXi Qiu
Xi Qiu
YZYundi Zhou
Yundi Zhou
SLSixin Lyu
Sixin Lyu
JLJing Li
Jing Li
CLChenyang Lu
Chenyang Lu