Large enhancement of nonlinear optical response of graphene nanoribbon heterojunctions with multiple topological interface states

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-05-01 Epub Date: 2025-02-27 DOI:10.1016/j.chaos.2025.116176
Hanying Deng , Yaxin Li , Zhihao Qu , Jing Deng , Yingji He , Fangwei Ye
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Abstract

We investigate the nonlinear optical response of graphene nanoribbon (GNR) heterojunctions both without and with one or multiple topological interface states. By implementing a distant-neighbor quantum-mechanical (DNQM) method, we demonstrate a pronounced enhancement of the nonlinear optical response of GNR heterojunctions as the number of topological states at their interfaces increases. Specifically, we find that GNR heterojunctions with multiple topological interface states exhibit a notably stronger third-order nonlinear optical response in comparison with their similarly sized counterparts with a single topological interface state or without such states. Furthermore, we observe that the presence of topological interface states in GNR heterojunctions can induce a significant red-shift of the resonance frequency of their linear and nonlinear optical response. Our results reveal the potential to enhance the nonlinear optical response at the nanoscale by increasing the number of topological interface states in graphene nanostructures or other topological systems.
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具有多种拓扑界面态的石墨烯纳米带异质结的非线性光学响应的大幅增强
研究了石墨烯纳米带(GNR)异质结的非线性光学响应,包括无拓扑界面态和具有一个或多个拓扑界面态。通过实现远邻量子力学(DNQM)方法,我们证明了GNR异质结的非线性光学响应随着其界面拓扑态数量的增加而显著增强。具体来说,我们发现具有多个拓扑界面态的GNR异质结与具有单一拓扑界面态或没有这种界面态的相同尺寸的异质结相比,表现出明显更强的三阶非线性光学响应。此外,我们观察到GNR异质结中拓扑界面态的存在会导致其线性和非线性光学响应的共振频率发生显著的红移。我们的研究结果揭示了通过增加石墨烯纳米结构或其他拓扑系统中拓扑界面态的数量来增强纳米尺度非线性光学响应的潜力。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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