“Benzation” of graphene upon addition of monovalent chemical species

Literature Information

Publication Date 2013-03-08
DOI 10.1039/C3CP43921F
Impact Factor 3.676
Authors

Ivan A. Popov, Yafei Li, Zhongfang Chen, Alexander I. Boldyrev


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Abstract

The chemical bonding analysis using the adaptive natural density partitioning method of the C4F fluorinated graphene sheet revealed a chemical bonding model explaining its particular stability. We proposed that the stability of the C4F fluorinated graphene is due to the so-called “benzation” of graphene. On the basis of our chemical bonding model we predicted that other high-symmetry structures of the C7F4, C3F2, C13F10, etc. stoichiometries, containing planar hexagons, which are separated from each other by 2, 3, 4, etc. C–F fragments could also possess additional stability. We also suggested that other functionalized graphene structures of the C4X and C7X4, C3X2, C13X10 stoichiometries, where X is a monovalent atom (H, F, Cl) or a monovalent group (CN, CCH etc.), could also have extra stability. We hope that the developed model, obtained for the functionalization of pristine graphene, will give an impetus for experimentalists to devise methods, which could serve as useful tools for producing this kind of materials with the tailored properties.

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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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