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On-surface synthesis has recently emerged as an effective route towards the atomically precise fabrication of graphene nanoribbons of controlled topologies and widths. However, whether and to which degree structural disorder occurs in the…

Graphene two-dimensional nature combined with today lithography allows to achieve nanoelectronics devices smaller than the Dirac electrons wavelength. Here we show that in these graphene subwavelength nanodevices the electronic quantum…

介观与纳米尺度物理 · 物理学 2010-09-08 Pierre Darancet , Valerio Olevano , Didier Mayou

We report electronic structure and electric field modulation calculations in the width direction for armchair graphene nanoribbons (acGNRs) using a semi-empirical extended Huckel theory. Important band structure parameters are computed,…

介观与纳米尺度物理 · 物理学 2008-06-25 Hassan Raza , Edwin C. Kan

In this study, we investigate the electronic and magnetic properties of graphane nanoribbons. We find that zigzag and armchair graphane nanoribbons with H-passivated edges are nonmagnetic semiconductors. While bare armchair ribbons are also…

材料科学 · 物理学 2010-05-20 Hasan Sahin , Can Ataca , Salim Ciraci

In this work, using self-consistent tight-binding calculations, for the first time, we show that a direct to indirect bandgap transition is possible in an armchair graphene nanoribbon by the application of an external bias along the width…

介观与纳米尺度物理 · 物理学 2015-05-19 Kausik Majumdar , Kota V. R. M. Murali , Navakanta Bhat , Yu-Ming Lin

We study the conductance through two types of graphene nanostructures: nanoribbon junctions in which the width changes from wide to narrow, and curved nanoribbons. In the wide-narrow structures, substantial reflection occurs from the…

介观与纳米尺度物理 · 物理学 2009-10-29 J. Wurm , M. Wimmer , I. Adagideli , K. Richter , H. U. Baranger

Motivated by the ever-improving performance of deep learning techniques, we design a mixed input convolutional neural network approach to predict transport properties in deformed nanoscale materials using a height map of deformations (from…

介观与纳米尺度物理 · 物理学 2022-09-09 Jack G. Nedell , Jonah Spector , Adel Abbout , Michael Vogl , Gregory A. Fiete

We address electron transport in honeycomb lattice ribbons with armchair edges attached to two semi-infinite one-dimensional metallic electrodes within the tight-binding framework. Here we present numerically the conductance-energy and…

介观与纳米尺度物理 · 物理学 2009-05-26 Santanu K. Maiti

We present an analytical investigation of the quasi-Coulomb impurity states in a narrow gapped armchair graphene nanoribbon (GNR) in the presence of a uniform external electric field directed parallel to the ribbon axis. The effect of the…

介观与纳米尺度物理 · 物理学 2014-06-16 Boris S. Monzon , Peter Schmelcher

We investigate theoretically the electronic transport properties in narrow graphene ribbons with an adatom-induced defect. It is found that the lowest conductance step of a metallic graphene nanoribbon may develop a dip even down to zero at…

介观与纳米尺度物理 · 物理学 2009-03-05 Jie-Yun Yan , Ping Zhang , Bo Sun , Hai-Zhou Lu , Zhigang Wang , Suqing Duan , Xian-Geng Zhao

Graphene nanoribbons' electronic transport properties strongly depend on the type of edge, armchair, zigzag or other, and on edge functionalization that can be used for band-gap engineering. For only partly hydrogenated edges interesting…

介观与纳米尺度物理 · 物理学 2021-11-12 Sebastian Schneider , Regina Hoffmann-Vogel

We show how hydrogenation of graphene nanoribbons at small concentrations can open new venues towards carbon-based spintronics applications regardless of any especific edge termination or passivation of the nanoribbons. Density functional…

介观与纳米尺度物理 · 物理学 2015-05-14 D. Soriano , F. Muñoz-Rojas , J. Fernández-Rossier , J. J. Palacios

Transport measurements on an etched graphene nanoribbon are presented. It is shown that two distinct voltage scales can be experimentally extracted that characterize the parameter region of suppressed conductance at low charge density in…

无序系统与神经网络 · 物理学 2009-02-26 C. Stampfer , J. Guettinger , S. Hellmueller , F. Molitor , K. Ensslin , T. Ihn

Using the non-equilibrium Keldysh Green's function formalism, we investigate the local, non-equilibrium charge transport in graphene nanoribbons (GNRs). In particular, we demonstrate that the spatial current patterns associated with…

介观与纳米尺度物理 · 物理学 2015-06-18 Joel Mabillard , Tankut Can , Dirk K. Morr

Carbon-based nanostructures and graphene, in particular, evoke a lot of interest as new promising materials for nanoelectronics and spintronics. One of the most important issue in this context is the impact of external electrodes on…

介观与纳米尺度物理 · 物理学 2012-03-16 S. Krompiewski

We unveil the nature of the structural disorder in bottom-up zigzag graphene nanoribbons along with its effect on the magnetism and electronic transport on the basis of scanning probe microscopies and first-principles calculations. We find…

In this work we have investigated the mechanical properties and fracture patterns of some graphene nanowiggles (GNWs). Graphene nanoribbons are finite graphene segments with a large aspect ratio, while GNWs are nonaligned periodic…

介观与纳米尺度物理 · 物理学 2019-06-05 R. A. Bizao , T. Botari , D. S. Galvao

Most materials in available macroscopic quantities are polycrystalline. Graphene, a recently discovered two-dimensional form of carbon with strong potential for replacing silicon in future electronics, is no exception. There is growing…

介观与纳米尺度物理 · 物理学 2010-09-28 Oleg V. Yazyev , Steven G. Louie

The formation of a superlattice in graphene can serve as a way to modify its electronic bandstructure and thus to engineer its electronic transport properties. Recent experiments have discovered a Kekul\'e bond ordering in graphene…

介观与纳米尺度物理 · 物理学 2020-02-19 Elias Andrade , Ramon Carrillo-Bastos , Pierre A. Pantaleón , Francisco Mireles

Armchair graphene nanoribbons are a highly promising class of semiconductors for all-carbon nanocircuitry. Here, we present a new perspective on their electronic structure from simple model Hamiltonians and $\textit{ab initio}$…

介观与纳米尺度物理 · 物理学 2023-01-24 Nikita V. Tepliakov , Johannes Lischner , Efthimios Kaxiras , Arash A. Mostofi , Michele Pizzochero