Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9205
Title: Directed growth of hydrogen lines on graphene: High-throughput simulations powered by evolutionary algorithm
Authors: Özbal, Gözde
Falkenberg, J. T.
Brandbyge, M.
Senger, Ramazan Tuğrul
Sevinçli, Haldun
Publisher: American Physical Society
Abstract: We set up an evolutionary algorithm combined with density functional tight-binding calculations to investigate hydrogen adsorption on flat graphene and graphene monolayers curved over substrate steps. During the evolution, candidates for the new generations are created by adsorption of an additional hydrogen atom to the stable configurations of the previous generation, where a mutation mechanism is also incorporated. Afterwards a two-stage selection procedure is employed. Selected candidates act as the parents of the next generation. The evolutionary algorithm predicts formation of lines of hydrogen atoms on flat graphene. In curved graphene, the evolution follows a similar path except for a new mechanism, which aligns hydrogen atoms on the line of minimum curvature. The mechanism is due to the increased chemical reactivity of graphene along the minimum radius of curvature line (MRCL) and to sp(3) bond angles being commensurate with the kinked geometry of hydrogenated graphene at the substrate edge. As a result, the reaction barrier is reduced considerably along the MRCL and hydrogenation continues like a mechanical chain reaction. This growth mechanism enables lines of hydrogen atoms along the MRCL, which has the potential to overcome substrate or rippling effects and could make it possible to define edges or nanoribbons without actually cutting the material.
URI: https://doi.org/10.1103/PhysRevMaterials.2.073406
https://hdl.handle.net/11147/9205
ISSN: 2475-9953
Appears in Collections:Materials Science and Engineering / Malzeme Bilimi ve Mühendisliği
Physics / Fizik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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