Effect of stepped substrates on the interfacial adhesion properties of graphene membranes

Literature Information

Publication Date 2014-03-20
DOI 10.1039/C4CP00633J
Impact Factor 3.676
Authors

Yan He, Wangbing Yu, Gang Ouyang


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Abstract

In order to gain a comprehensive understanding of interface adhesion properties involved in adhesion energy and local interface separation between graphene membranes and underlying stepped substrates, we develop an analytic model by considering the total free energy originally from interfacial van der Waals interaction and elastic strain energy stored in the membranes based on an atomic-bond-relaxation consideration. It is found that the interface adhesion energy decreases with increasing membrane thickness. Moreover, as compared to the case of a flat substrate surface, the interface adhesion properties of graphene membranes on stepped surfaces are strongly affected by the substrate surface parameters, including step height, vicinal angle, membrane thickness, terrace width and orientation, etc., implying that the topographic fluctuation of graphene is attributed to the various interface separations at different substrate sites. Our predictions agree reasonably well with computer simulations and experimental observations, which suggest that the developed method can be regarded as an effective method to design the interface adhesion of graphene membranes in graphene-based functional device components.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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