Nitrogen content and morphology dependent field emission properties of nitrogen-doped SiC nanowires and density functional calculations

Literature Information

Publication Date 2015-09-28
DOI 10.1039/C5CP04064G
Impact Factor 3.676
Authors

Jian Zhao, Alan Meng, Meng Zhang, Zhenjiang Li


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Abstract

Nitrogen-doped SiC nanowires (N-doped SiC NWs) with a nitrogen content from 0.975 wt% to 2.265 wt% have been synthesized via a one-step chemical vapor reaction (CVR), where melamine served as both the carbon and nitrogen source. Interestingly, the morphology of the products changed from slightly curled to very curled with crowding together with the increase of N dopants, which was interpreted reasonably by the proposed N-doping growth model of SiC NWs. In addition, according to the electronic structure calculation results, the band gap is narrowed progressively with the increase of N content, which greatly enhances the field emission (FE) properties. However, the experimental results of the FE measurements substantiate that only when the N content takes an optimal value can the N-doped SiC NWs act as candidates for field emitters with very low turn-on fields (Eto) of 1.5 V μm−1 and threshold fields (Ethr) of 4 V μm−1. On the basis of the aforementioned phenomenon, a universal cooperativity mechanism was put forward to explain the effect of the N content and morphology on the FE properties of the N-doped SiC NWs.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
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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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