Ab-initio Calculations of Vibrational Fingerprints in the Photoluminescence of Graphene Quantum Dots

IF 5.8 3区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Nanoscale Pub Date : 2024-11-07 DOI:10.1039/d4nr02458c
Ruoyu Wu, Peng Han, Tobias Dittmann, Fu-He Wang, Yan Zhang, Gabriel Bester
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Abstract

We use a computational method based on ab initio (constrained) density functional theory to obtain the photoluminescence spectrum of graphene quantum dots with up to 240 carbon atoms, including the effect of multiphonons. We find that only few phonon modes couple effectively to the exciton, namely one size- and shape-dependent global mode and two high frequency local modes. The exciton-phonon coupling decreases with increasing size for all structures and has a magnitude in the mid-range leading to only relatively small multiphonon effects. We suggest that the photoluminescence sidebands can be used as fingerprint for the determination of size and shape of graphene quantum dots. Our results are in very good agreement with a recent experiment and reveal that a two-phonon replica (with n = 2) is clearly visible in the spectrum.
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石墨烯量子点光致发光中振动指纹的 Ab-initio 计算
我们使用一种基于 ab initio(约束)密度泛函理论的计算方法,获得了含有多达 240 个碳原子的石墨烯量子点的光致发光光谱,其中包括多声子的效应。我们发现,只有少数声子模式与激子有效耦合,即一个与尺寸和形状相关的全局模式和两个高频局部模式。在所有结构中,激子-声子耦合都会随着尺寸的增大而减小,其量级处于中等水平,从而只产生相对较小的多声子效应。我们认为,光致发光边带可用作确定石墨烯量子点尺寸和形状的指纹。我们的结果与最近的一项实验非常吻合,并揭示了光谱中明显可见的双声子复制品(n = 2)。
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来源期刊
Nanoscale
Nanoscale CHEMISTRY, MULTIDISCIPLINARY-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
12.10
自引率
3.00%
发文量
1628
审稿时长
1.6 months
期刊介绍: Nanoscale is a high-impact international journal, publishing high-quality research across nanoscience and nanotechnology. Nanoscale publishes a full mix of research articles on experimental and theoretical work, including reviews, communications, and full papers.Highly interdisciplinary, this journal appeals to scientists, researchers and professionals interested in nanoscience and nanotechnology, quantum materials and quantum technology, including the areas of physics, chemistry, biology, medicine, materials, energy/environment, information technology, detection science, healthcare and drug discovery, and electronics.
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