4.5 Article

A DFT investigation of lithium adsorption on graphenes as a potential anode material in lithium-ion batteries

Journal

JOURNAL OF MOLECULAR GRAPHICS & MODELLING
Volume 108, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmgm.2021.107998

Keywords

DFT calculations; Graphene; Lithium-ion batteries; Ionization potential; Electrical voltage

Funding

  1. CAPES [88887.363111/2019-00]
  2. CNPq [437149/2018-8]
  3. FAPERJ [E-26/202.821/2019]

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This study focused on the adsorption of Li+ ions on pristine and topologic Stone-Wales defective graphene using density functional theory (DFT), revealing that Li+ is more stably adsorbed on the edges of graphene structures. The electronic effects induced by Li+ adsorption and the presence of SW defect were analyzed, showing potential for efficient applications in electrochemical systems, particularly lithium-ion batteries.
We present a detailed study of the Li+ ion adsorption on two different hydrogenated carbon nanostructures, namely as pristine graphene (PG) and topologic Stone-Wales defective graphene (SWG) using the density functional theory (DFT). The studies are focused to analyze the structure-stability relationship with the estimated electronic and electrical properties for lithium-ion batteries (LIB) formed with an anode based on the Li/Li+#PG and Li/Li+#SWG systems. In addition, the electronic effects induced due to Li+ adsorption and the presence of SW defect on the graphene models were analyzed by the frontier molecular orbitals, ChelpG charges, Raman and UV-Vis spectra. It was verified that Li+ is more stably adsorbed on the edges on both graphene structures through an electrostatic interaction between cation and more negatively charged edges of nanostructures. TD-DFT calculations showed that the metallic nature of isolated graphene is disturbed after the adsorption of Li+, and this was demonstrated from the calculated HOMO-LUMO gap. The same Li+-Graphene geometries were optimized by introducing neutral charge in order to enable the calculation of ionization potentials. I was also found that such systems potentially contributed to the modeling of graphene-based anodes with reasonable electrical voltage responses estimated for a LIB. The simulation of Raman and UV-Vis spectra revealed significant variations in intensity and shifts the typical bands of graphene due to the presence of the Li+ ion that can contribute to point out new experiments to the spectroscopic characterization of these systems. Our results suggest that these carbon nanostructures are potential candidates for efficient applications in electrochemical systems, mainly dealing with LIB.

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