Theoretical analysis of doped graphene as cathode catalyst in Li-O2 and Na-O2 batteries -- the impact of the computational scheme
Katarina A. Nov\v{c}i\'c (1), Ana S. Dobrota (1), Milena Petkovi\'c, (1), B\"orje Johansson (2,3, 4), Natalia V. Skorodumova (2, 3), Slavko, V. Mentus (1, 5), Igor A. Pa\v{s}ti (1, 2) ((1) University of Belgrade, - Faculty of Physical Chemistry, Belgrade, Serbia

TL;DR
This paper introduces a new computational scheme combining high-level CCSD(T) and DFT methods to model reactions in Li-O2 and Na-O2 batteries, highlighting the importance of dispersion corrections and identifying B-doped graphene as an effective catalyst.
Contribution
A novel hybrid computational approach for modeling M-O2 cell reactions, integrating high-level and DFT calculations, with insights into catalyst design and the role of dispersion interactions.
Findings
B-doped graphene is the most effective catalyst among those considered.
Including dispersion corrections significantly affects predicted potentials.
Guidelines for designing improved ORR catalysts for M-O2 batteries.
Abstract
Understanding the reactions in M-O2 cells (M = Li or Na) is of great importance for further advancement of this promising technology. Computational modelling can be helpful along this way, but an adequate approach is needed to model such complex systems. We propose a new scheme for modelling processes in M-O2 cells, where reference energies are obtained from high-level theory, CCSD(T), while the interactions of reaction intermediates with catalyst surfaces are extracted from computationally less expensive DFT. The approach is demonstrated for the case of graphene-based surfaces as model catalysts in Li-O2 and Na-O2 cells using the minimum viable mechanism. B-doped graphene was identified as the best catalyst among considered surfaces, while pristine graphene performs poorly. Moreover, we show that the inclusion of dispersion corrections for DFT has a significant impact on calculated…
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