Institution
Shanghai University
Education•Shanghai, Shanghai, China•
About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Graphene. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.
Topics: Microstructure, Graphene, Nonlinear system, Catalysis, Thin film
Papers published on a yearly basis
Papers
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TL;DR: This paper modifies a flow chart of the rumor spreading process with the SIR (Susceptible, Infected, and Recovered) model, and thus makes the belief that ignorants will inevitably change their status once they are made aware of a rumor by spreaders.
Abstract: With the prevalence of new media, e.g., microblogging, rumors spread faster and wider than ever before. On the basis of prior studies, this paper modifies a flow chart of the rumor spreading process with the SIR (Susceptible, Infected, and Recovered) model, and thus makes the rumor spreading process more realistic and apparent. The authors believe that ignorants will inevitably change their status once they are made aware of a rumor by spreaders; the probabilities that a spreader becomes a stifler are differentiated in accordance with reality. In the numerical simulation part, the impact that variations of different parameters have on the rumor spreading process will be analyzed.
232 citations
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TL;DR: To enhance security, a modified scheme is proposed which avoids occurrence of the above-mentioned steps in the pixel difference histogram while preserving the advantage of low visual distortion of the PVD.
232 citations
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TL;DR: In this paper, the mechanical properties of single-layer black phosphorus under uniaxial deformation were investigated using first-principles calculations, and both the Young's modulus and ultimate strain were found to be highly anisotropic and nonlinear as a result of its quasi-two-dimensional puckered structure.
Abstract: The mechanical properties of single-layer black phosphorus under uniaxial deformation are investigated using first-principles calculations. Both the Young's modulus and ultimate strain are found to be highly anisotropic and nonlinear as a result of its quasi-two-dimensional puckered structure. Specifically, the in-plane Young's modulus is 41.3?GPa in the direction perpendicular to the pucker and 106.4?GPa in the parallel direction. The ideal strain is 0.48 and 0.11 in the perpendicular and parallel directions, respectively.
232 citations
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TL;DR: It was found that boron nitride (BN) filled in the interspaces of s-GH sheets and formed s-BN/s-GH stacked structure, which were helpful for the synchronously improving TC and mechanical properties of the polymeric materials.
Abstract: In this work, we reported a synergistic effect of boron nitride (BN) with graphene nanosheets on the enhancement of thermal conductive and mechanical properties of polymeric composites. Here, few layered BN (s-BN) and graphene (s-GH) were used and obtained by liquid exfoliation method. The polystyrene (PS) and polyamide 6 (PA) composites were obtained via solution blending method and subsequently hot-pressing. The experimental results suggested that the thermal conductivity (TC) of the PS and PA composites increases with additional introduction of s-BN. For example, compared with the composites containing 20 wt % s-GH, additional introduction of only 1.5 wt % s-BN could increase the TC up to 38 and 34% in polystyrene (PS) and polyamide 6 (PA) matrix, respectively. Meanwhile, the mechanical properties of the composites were synchronously enhanced. It was found that s-BN filled in the interspaces of s-GH sheets and formed s-BN/s-GH stacked structure, which were helpful for the synchronously improving TC and mechanical properties of the polymeric materials.
232 citations
Authors
Showing all 59993 results
Name | H-index | Papers | Citations |
---|---|---|---|
Zhong Lin Wang | 245 | 2529 | 259003 |
Yang Yang | 171 | 2644 | 153049 |
Yang Liu | 129 | 2506 | 122380 |
Zhen Li | 127 | 1712 | 71351 |
Xin Wang | 121 | 1503 | 64930 |
Jian Liu | 117 | 2090 | 73156 |
Xin Li | 114 | 2778 | 71389 |
Wei Zhang | 112 | 1189 | 93641 |
Jianjun Liu | 112 | 1040 | 71032 |
Liquan Chen | 111 | 689 | 44229 |
Jin-Quan Yu | 111 | 438 | 43324 |
Jonathan L. Sessler | 111 | 997 | 48758 |
Peng Wang | 108 | 1672 | 54529 |
Qian Wang | 108 | 2148 | 65557 |
Wei Zhang | 104 | 2911 | 64923 |