4.8 Article

Two-dimensional siligraphenes as cathode catalysts for nonaqueous lithium-oxygen batteries

期刊

CARBON
卷 126, 期 -, 页码 580-587

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2017.10.077

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资金

  1. Ministry of Science and Technology of China [2017YFA0204802, 2017YFB0701601]
  2. National Natural Science Foundation of China [51761145013, 21673149, 21703145]
  3. China Postdoctoral Science Foundation [2017M611892]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
  5. Fund for Innovative Research Teams of Jiangsu Higher Education Institutions, Jiangsu Key Laboratory for Carbon Based Functional Materials and Devices, Collaborative Innovation Center of Suzhou Nano Science and Technology

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The nonaqueous lithium-oxygen (Li-O-2) battery is promising as a superior energy storage medium, whose practical applications are limited by the catalytic performance of cathode catalysts. Using density functional theory calculations, we have systematically investigated the catalytic mechanism and catalytic performance of siligraphenes as cathode catalysts in nonaqueous Li-O-2 batteries. For the siligraphenes studied here, Li2O is the final discharge product. Among them, the single-layered SiC (SL-SiC) exhibits potential as a suitable cathode catalyst due to the considerably low overpotential values during discharge and charge process. That is, 0.73 V for oxygen reduction reaction (ORR) and 1.87 V for oxygen evolution reaction (OER). The quantitative analysis indicates that the ORR overpotential on siligraphenes is linearly correlated with the DEads of the last added Li in Li4O2* (* denotes the adsorbed surface), while the OER overpotential is linearly correlated with the E-ads of LiO2 on surface. Our investigations elucidate quantitative correlations between the catalytic performance of siligraphenes and the adsorption performance of Li-contained intermediates on them, which provides promising approach to develop metal-free cathode catalysts with high catalytic activity. (C) 2017 Elsevier Ltd. All rights reserved.

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