Yuanyuan Liu

Prof. Yuanyuan Liu

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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30 April 2015 in Science China Mathematics
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Journal Article
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YLYuanyuan Liu
Yuanyuan Liu

1 July 2018 in Operations Research Letters
Verified
Journal Article
Closed access
YLYuanyuan Liu
Yuanyuan Liu
WLWendi Li
Wendi Li
HMHiroyuki Masuyama
Hiroyuki Masuyama

1 March 2015 in Nanoscience and Nanotechnology Letters
Verified
Journal Article
Closed access
XLXiaoxu Liu
Xiaoxu Liu
JYJinghua Yin
Jinghua Yin
YKYujie Kou
Yujie Kou
MCMinghua Chen
Minghua Chen
YLYuanyuan Liu
Yuanyuan Liu
Bo SuBo Su
Bo Su
Polyimide (PI)-matrix composite films containing nitrogen (N) doped graphene sheet have been fabricated by employing in-situ polymerization and their microstructure has been investigated by the small angle X-ray scattering (SAXS) and scanning electron microscopy. The N doped graphene (NG) possess excellent dispersion within the PI matrix, and forming strong links with the polymer to facilitate load transfer. The PI/NG composite films exhibit improved mechanical properties than that of the pure PI film. The tensile strength of the integrated PI/NG composite films with 0.1 wt% loading is 15% greater, and the elongation at break is 230% greater than comparable properties of pure PI film. This approach provides a strategy for developing high performance graphene–polymer composite.

30 September 2013 in Performance Evaluation
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Journal Article
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SDSarah Dendievel
Sarah Dendievel
GLGuy Latouche
Guy Latouche
YLYuanyuan Liu
Yuanyuan Liu

25 June 2015 in Frontiers of Mathematics in China
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Journal Article
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YLYuanyuan Liu
Yuanyuan Liu
YZYuhui Zhang
Yuhui Zhang

1 September 2005 in Journal of Applied Probability
Verified
Journal Article
Closed access
ZHZhenting Hou
Zhenting Hou
YLYuanyuan Liu
Yuanyuan Liu
HZHanjun Zhang
Hanjun Zhang
Let (Φt)t∈ℝ+ be a Harris ergodic continuous-time Markov process on a general state space, with invariant probability measure π. We investigate the rates of convergence of the transition function Pt(x, ·) to π; specifically, we find conditions under which r(t)||Pt(x, ·) − π|| → 0 as t → ∞, for suitable subgeometric rate functions r(t), where ||·|| denotes the usual total variation norm for a signed measure. We derive sufficient conditions for the convergence to hold, in terms of the existence of suitable points on which the first hitting time moments are bounded. In particular, for stochastically ordered Markov processes, explicit bounds on subgeometric rates of convergence are obtained. These results are illustrated in several examples.