Ab initio investigation of the cyclodehydrogenation process for polyanthrylene transformation to graphene nanoribbons

Zhongcan Xiao, Chuanxu Ma, Wenchang Lu, Jingsong Huang, Liangbo Liang, Kunlun Hong, An Ping Li, Bobby G. Sumpter, Jerzy Bernholc

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Graphene nanoribbons (GNRs) can be synthesized from molecular precursors with atomic precision. A prominent case is the 7-atom-wide armchair GNR made from 10,10′-dibromo-9,9′-bianthryl (DBBA) precursors on metal substrates through dehalogenation/polymerization followed by cyclodehydrogenation. We investigate the key aspects of the cyclodehydrogenation process by evaluating the energy profiles of various reaction pathways using density functional theory and the nudged elastic band method. The metal substrate plays a critical catalytic role by providing stronger adsorption for products and facilitating H desorption. For polyanthrylene on an extra layer of GNR on Au, the underlying GNR insulates it from the Au substrate and increases the reaction barriers, rendering the polyanthrylene “quasi-freestanding”. However, positive charge injection can induce localized cyclodehydrogenation. We find that this is due to the stabilization of an intermediate state through an arenium ion mechanism and favorable orbital symmetries. These results provide mechanistic insight into the effects of the metal substrate and charge injection on cyclodehydrogenation during GNR synthesis and offer guidance for the design and growth of new graphitic structures.

Original languageEnglish
Article number91
Journalnpj Computational Materials
Volume5
Issue number1
DOIs
StatePublished - Dec 1 2019

Funding

A portion of this research was conducted at the Center for Nanophase Materials Sciences (CNMS), which is a DOE Office of Science User Facility. The research was funded by grants ONR N00014-16-1-3213 and N00014-16-1-3153, and DOE DE-FG02-98ER45685. The development of the RMG code was funded by NSF grant OAC-1740309. Supercomputer time was provided by NSF grant ACI-1615114 at the National Center for Supercomputing Applications (NSF OCI-0725070 and ACI-1238993). Some of the calculations were performed at the Oak Ridge Leadership Computing Facility (DOE DE-AC05-00OR22725). L.L. was supported by Eugene P. Wigner Fellowship at Oak Ridge National Laboratory.

FundersFunder number
National Science FoundationACI-1615114, OCI-0725070, 1740309, ACI-1238993, OAC-1740309
Office of Naval ResearchN00014-16-1-3153, N00014-16-1-3213
U.S. Department of EnergyDE-FG02-98ER45685
Oak Ridge National Laboratory

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