Published in

Royal Society of Chemistry, Physical Chemistry Chemical Physics, 2(22), p. 890-895, 2020

DOI: 10.1039/c9cp04885e

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Fast prediction of oxygen reduction reaction activity on carbon nanotubes with a localized geometric descriptor

Journal article published in 2020 by Kunran Yang ORCID, Jeremie Zaffran, Bo Yang ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

By using the pyramidalization angle as a localized geometric descriptor for oxygen reduction reaction (ORR) activity of carbon nanotubes (CNTs), we show the ORR activity of these systems can be readily predicted with mere structural optimization of CNTs.