Quantum transport properties of a double-barrier quantum well structure based on V-cut edge-patterned armchair graphene nanoribbon

IF 2.2 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Computational Electronics Pub Date : 2024-12-02 DOI:10.1007/s10825-024-02264-4
Bikramjit Basumatary, Agile Mathew
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Abstract

A double-barrier quantum well is created using a larger band gap V-cut modified armchair graphene nanoribbon (AGNR) for the barrier region and a pristine AGNR with a smaller bandgap for the channel region. The numerical non-equilibrium Green’s function (NEGF) method, based on the pi-orbital tight-binding model, is employed to study the quantum transport properties of the device. The effects of various dimensional parameters, such as contact width, channel length, and distance between V-cuts in the barrier region, are investigated. The plot of the local density of states (LDOS) shows the formation of a single quantized quasi-energy state in the channel region, corresponding to a peak in transmission. The V–I characteristics of the device exhibit negative differential resistance (NDR) regions for a certain range of bias values. This device’s resonant tunneling performance parameters are compared with those of a similar, previously reported structure.

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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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