利用 DFT 和 NEGF 方法设计基于共振隧道二极管的 N 掺杂 C60-σ-B 掺杂 C60 光探测器。

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-10-04 DOI:10.1007/s00894-024-06166-x
Majid Malek, Mohammad Danaie
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引用次数: 0

摘要

背景:利用供体/受体(D/A)分子的光检测器能够通过供体分子和受体分子之间的分子相互作用来检测光。这些设备利用光照射时分子内的电子或光学变化,从而产生可观察到的变化。D/A 分子光电探测器的独特性质使其成为分子电子学等多个领域的重要工具。本文介绍了基于 D/A 分子配置的单分子光电探测器的建模和模拟。所使用的受体分子是 N 掺杂的 C60 富勒烯,而供体分子是 B 掺杂的 C60 富勒烯。首先,在零偏置电压下进行模拟,以确定双分子的能量和状态。随后,根据这些结果计算出系统的哈密顿。建模时采用了自洽场方法(SCF)和光学自能系数。最后,得出了该器件在不同输入光频率下的电流-电压曲线。模拟和建模结果表明,根据输入光频率的不同,该器件在偏置电压为 0.33 V、1.58 V 和 - 0.93 V 时表现出负微分电阻。此外,所设计的器件还具有探测和吸收不同频率光波的能力。电流-电压曲线中的电流峰值数量随光学模式数量的改变而变化:计算工作使用 Atomistix ToolKit(ATK-2018.06)软件包和 MATLAB 代码进行。计算基于密度泛函理论(DFT)方法和自洽场方法,特别是非平衡格林函数(NEGF)。交换相关函数采用 Perdew、Burke 和 Ernzerhof(PBE)提出的广义梯度近似法(GGA)进行研究。在计算中,我们采用了双ζ加极化(DZP)基集。最初,我们使用 ATK 软件包中的 DFT 方法对 N 掺杂-C60-σ-B 掺杂-C60 分子的结构进行了优化。通过这一优化过程,我们提取了分子的参数。随后,我们利用 MATLAB 软件中的 NEGF 形式来建模和模拟基于优化分子的光电探测器。我们计算了光电探测器的重要特征,如光电流,并使用能量为 2 和 3 eV 的光子比较了光电探测器的性能。
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Design of N-doped C60-σ-B-doped C60 photodetector based on resonant tunneling diode using DFT and NEGF method

Context

Photodetectors utilizing donor/acceptor (D/A) molecules have the capacity to detect light through molecular interactions between a donor and an acceptor molecule. These devices leverage electronic or optical changes within molecules when exposed to light, resulting in observable modifications. The unique properties of photodetectors with D/A molecules make them valuable tools in various fields, including molecular electronics. This paper presents the modeling and simulation of a single-molecule photodetector based on a D/A molecule configuration. The acceptor molecule used is N-doped C60 fullerene, while the donor molecule is B-doped C60 fullerene. Initially, simulations were conducted at zero bias voltage to determine the energy and states of the bipartite molecule. Subsequently, the system’s Hamiltonian was computed based on these results. The self-consistent field method (SCF) and optical self-energy coefficients were employed for modeling. Finally, the current–voltage curve of the device was derived for various input light frequencies. The simulation and modeling results demonstrated that the device exhibited negative differential resistances at bias voltages of 0.33 V, 1.58 V, and − 0.93 V, depending on the input light frequency. Furthermore, the designed device demonstrated the ability to detect and absorb waves with different frequencies. The number of current peaks in the current–voltage curve varied with by altering the number of optical modes.

Methods

The computational work was conducted using the software package of Atomistix ToolKit (ATK-2018.06) and MATLAB code. The calculations were based on the density functional theory (DFT) approach and the self-consistent field method, specifically the non-equilibrium Green function (NEGF). The exchange correlation function was investigated using the generalized gradient approximation (GGA) proposed by Perdew, Burke, and Ernzerhof (PBE). For the calculations, we employed the double-ζ plus polarization (DZP) basis set. Initially, the structures of N doped-C60-σ-B-doped-C60 molecule underwent optimization using the DFT approach implemented in the ATK package. This optimization process allowed us to extract the parameters of the molecule. Subsequently, we utilized the NEGF formalism in MATLAB software to model and simulate photodetector based on the optimized molecule. We calculated important features of the photodetector, such as photocurrent, and compared the performance of the photodetector using photons with energies of 2 and 3 eV.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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