Second-order nonlinear optical properties of bulk GeC polytypes, g-GeC and corresponding nanotubes: first-principles calculations
Literature Information
Dongshan Wei
Very recently, researchers have found that low-dimensional materials display more intriguing second-order nonlinear optical (NLO) phenomena and possess larger second-order NLO susceptibilities than the corresponding bulk forms. Here, we perform a systematic first-principles study of the second-order NLO properties and linear electro-optical coefficients of GeC bulk polytypes, g-GeC and corresponding nanotubes. Remarkably, the second-order NLO susceptibility χ(2) of g-GeC and corresponding nanotubes can be comparable with that of the archetypical NLO semiconductor GaAs. Therefore, g-GeC and corresponding nanotubes have potential applications in NLO and electro-optical devices. We also quantitatively calculate the second-order NLO response contributions from the high density of states near the VBM via dividing NLO susceptibilities into contributions from different valence bands, revealing that the high density of states is the origin of the strong NLO responses in g-GeC and corresponding nanotubes. Such a mechanism will help to find excellent NLO materials more effectively. Moreover, the prominent features in the spectra of χ(2)(−2ω, ω, ω) of GeC polytypes are analyzed in terms of single- and double-photon resonances.
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Physical Chemistry Chemical Physics

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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