Results 91 to 100 of about 3,847 (225)

New supercurrent pattern in quantum point contact with strained graphene nanoribbon

open access: yesNew Journal of Physics, 2020
We theoretically reveal the unusual features of the Josephson effect in a strained zigzag graphene nanoribbon with a small length relative to the superconducting coherence length and an arbitrary width.
Leyla Majidi, Reza Asgari
doaj   +1 more source

Gas Permeation through V2O5 Nanoribbons‐Based Membrane

open access: yesAdvanced Materials Interfaces
Membrane separation processes play a crucial role in gas separation applications, with the need for ongoing development to fulfill new needs for today's challenges.
Sarah M. Chevrier   +3 more
doaj   +1 more source

Bending and buckling of narrow armchair graphene nanoribbons via STM manipulation

open access: yesNew Journal of Physics, 2015
Semiconducting graphene nanoribbons (GNRs) are envisioned to play an important role in future electronics. This requires the GNRs to be placed on a surface where they may become strained. Theory predicts that axial strain, i.e.
Joost van der Lit   +3 more
doaj   +1 more source

Rotational self-alignment of graphene seeds for nanoribbon synthesis on Ge(001) via chemical vapor deposition

open access: yesAPL Materials, 2020
The chemical vapor deposition of CH4 on Ge(001) results in the anisotropic synthesis of graphene nanoribbons that are aligned to Ge⟨110⟩ and have faceted armchair edges, sub-10 nm widths, and lengths greater than 100 nm. The utilization of small graphene
Austin J. Way   +3 more
doaj   +1 more source

Acoustoelectric Current in Graphene Nanoribbons

open access: yesScientific Reports, 2017
AbstractSurface acoustic waves (SAWs) propagating on piezoelectric substrates offer a convenient, contactless approach to probing the electronic properties of low-dimensional charge carrier systems such as graphene nanoribbons (GNRs). SAWs can also be used to transport and manipulate charge for applications such as metrology and quantum information. In
Poole, T, Nash, GR
openaire   +4 more sources

Transport characteristics of a silicene nanoribbon on Ag(110)

open access: yesBeilstein Journal of Nanotechnology, 2017
We present the transport characteristics of individual silicene nanoribbons (SiNRs) grown on Ag(110). By lifting up a single SiNR with a low-temperature scanning tunneling microscope tip, a nanojunction consisting of tip, SiNR and Ag is fabricated.
Ryoichi Hiraoka   +6 more
doaj   +1 more source

Graphite, graphene on SiC, and graphene nanoribbons: Calculated images with a numerical FM-AFM

open access: yesBeilstein Journal of Nanotechnology, 2012
Background: Characterization at the atomic scale is becoming an achievable task for FM-AFM users equipped, for example, with a qPlus sensor. Nevertheless, calculations are necessary to fully interpret experimental images in some specific cases.
Fabien Castanié   +3 more
doaj   +1 more source

Electromechanics of twisted graphene nanoribbons [PDF]

open access: yesApplied Physics Letters, 2011
Graphene nanoribbons are the flimsiest material systems in the world, and they get readily distorted. Distortion by twisting, for one, is important because it couples to ribbon’s electronic properties. In this letter, using simulations with density-functional tight-binding and revised periodic boundary conditions, I show that twisting appears almost ...
openaire   +2 more sources

Neuronal differentiation and tissue engineering strategies for central neurous system injury repair

open access: yesBMEMat, EarlyView.
This review outlines tissue engineering advances for central nervous system (CNS) injury treatment, focusing on three core components: seed cells, inductive factors, and scaffold materials, with evaluation of their respective strengths and limitations. Tissue engineering for CNS injury repair.
Zhuqing Xia   +9 more
wiley   +1 more source

Integrating Atomistic Insights With Circuit Simulations via Transformer-Driven Symbolic Regression

open access: yesIEEE Journal on Exploratory Solid-State Computational Devices and Circuits
This article introduces a framework that establishes a cohesive link between the first principles-based simulations and circuit-level analyses using a machine learning-based compact modeling platform.
Md Rahatul Islam Udoy   +4 more
doaj   +1 more source

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