Chunyu Yin

Mr. Chunyu Yin

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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28 July 2022 in Journal of Nuclear Materials
Verified
Journal Article
Closed access
YLYang Liu
Yang Liu
BLBin Luo
Bin Luo
HHHongtao Huang
Hongtao Huang
WWWang Wang
Wang Wang
WLWenxuan Li
Wenxuan Li
CYChunyu Yin
Chunyu Yin

14 August 2023 in Progress in Nuclear Energy
Verified
Journal Article
Closed access
LQLibo Qian
Libo Qian
YLYu Liu
Yu Liu
Tao HuangTao Huang
Tao Huang
Wei ChenWei Chen
Wei Chen
SDSijia Du
Sijia Du
QXQingwen Xiong
Qingwen Xiong

8 March 2022 in Nanomaterials
Verified
Journal Article
Open access
PDF file
LWLei Wu
Lei Wu
XSXiangyang Sun
Xiangyang Sun
FGFeng Gong
Feng Gong
JLJunyi Luo
Junyi Luo
CYChunyu Yin
Chunyu Yin
RXRui Xiao
Rui Xiao
Owing to the excellent thermal properties of graphene, silicon carbide (SiC) combined with graphene is expected to obtain more outstanding thermal performance and structural stability at high temperatures. Herein, the thermal conductivity of graphene/SiC heterostructures (GS-Hs) with different structures and atomic orientations was calculated through non-equilibrium molecular dynamics (NEMD) simulations. The temperature dependence and size effect on the thermal transport properties of GS-Hs were systematically investigated and discussed. The continuous addition of graphene layers did not always have a positive effect. The thermal transport performance of GS-Hs approached the intrinsic thermal conductivity of SiC when the interaction gradually decreased with the distance between SiC and graphene. Studies on temperature and size dependence show opposite trends. The enhancement effect of graphene was limited at small distances. The thermal conductivity of GS-Hs had a negative correlation with temperature and increased with the system size. Meanwhile, the thermal conductivity of GS-Hs was predicted to be 156.25 (W·m−1·K−1) at the macroscopic scale via extrapolation. The model established in this paper is also applicable to other material simulation processes, as long as the corresponding parameters and potential functions are available. This study will provide inspiration for the optimized design and preparation of highly efficient cladding materials in nuclear reactors.

7 May 2022 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
SGShixin Gao
Shixin Gao
ZDZhengang Duan
Zhengang Duan
YWYingwei Wu
Yingwei Wu
YZYi Zhou
Yi Zhou
PCPing Chen
Ping Chen
HYHongbu Yin
Hongbu Yin

7 February 2024 in Journal of Nuclear Materials
Verified
Journal Article
Closed access
JTJiatong Tan
Jiatong Tan
YWYingwei Wu
Yingwei Wu
QLQun Li
Qun Li
YHYanan He
Yanan He
CYChunyu Yin
Chunyu Yin

11 August 2023 in Journal of Nuclear Materials
Verified
Journal Article
Closed access
ZXZhexiao Xie
Zhexiao Xie
CYChunyu Yin
Chunyu Yin
JZJing Zhang
Jing Zhang
YJYongjun Jiao
Yongjun Jiao
GDGuochen Ding
Guochen Ding
PCPing Chen
Ping Chen