New graphane: inspiration from the structure correlation with phosphorene
Literature Information
Linxin He, Xinxin Li, Xin Zhu, Jianglei Luo, Zhiqian Chen, Chunmei Li
The application of phosphorene and graphane in different photoelectric devices and energy reserves has attracted wide attention. Here, we investigated the Raman spectra, phonon dispersion and vibration modes of four phosphorene monolayer polymorphs and four graphane allotropes with the corresponding crystal structures to analyze the structure correlation between them. Based on the “three identical, one divergent” pattern found in the sp3 hybrid atomic orbitals of phosphorene and graphane, four new graphane conformers with different hydrogenation modes named γδ-G, αγ-G, βγ-G and αδ-G are successfully predicted. Among these four new graphane conformers, βγ-G has the lowest binding energy, which is only 0.02 eV per atom higher than β-G, the most stable one among all graphane theoretically predicted. This means that βγ-G may co-exist with β-G during the experimental synthesis of graphane, which can be distinguished from the side views with threefold structures for βγ-G and twofold structures for β-G. All the new graphane conformers are direct-band-gap semiconductors with band gaps more than 3 eV, which indicate their great potential in optoelectronic devices. Furthermore, three of them exhibit in-plane negative Poisson's ratios under tensile deformation.
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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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