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Hydrogenated-Graphene encapsulated Graphene: A versatile material for device applications

Materials Science 2019-10-07 v3

Abstract

Graphene and its heterostructures exhibit interesting electronic properties and are explored for quantum spin Hall effect(QSHE) and magnetism based device applications. In present work, we propose a heterostructure of graphene encapsulated by hydrogenated graphene which could be a promising candidate for a variety of device applications. We have carried out DFT calculations on this system to check its feasibility to be a versatile material. We found that electronic states of multilayer pristine graphene, especially Dirac cone, an important feature to host QSHE, can be preserved by sandwiching it by fully hydrogenated graphene. Interference of electronic states of hydrogenated graphene was insignificant with those of graphene. States of graphene were also found to be stable upon application of electric field up to 2.5V/nm. For device applications, multilayer graphene or its heterostructures are required to be deposited on a substrate, which interacts with system opening up a gap at Dirac cone making it less suitable for QSHE applications and hydrogenated graphene can prevent it. Magnetization in these hydrogenated graphene sandwiched graphene may be induced by creating vacancies or distortions in hydrogenated graphene, which was found to have minimal effect on graphenes electronic states, thus providing an additional degree of manipulation. We also performed a set of calculations to explore its applicability for detecting some molecules. Our results on trilayer graphene encapsulated by hydrogenated graphene indicate that all these observations can be generalized to systems with a larger number of graphene layers, indicating that multilayer graphene sandwiched between two hydrogenated graphene is a versatile material that can be used in QSHE, sensor devices, etc.

Keywords

Cite

@article{arxiv.1905.03965,
  title  = {Hydrogenated-Graphene encapsulated Graphene: A versatile material for device applications},
  author = {Mohammed Ghadiyali and Sajeev Chacko},
  journal= {arXiv preprint arXiv:1905.03965},
  year   = {2019}
}

Comments

29 pages, 9 figures

R2 v1 2026-06-23T09:02:28.323Z