Building molecular C10-π-cationic interaction systems for reporting quadrupole moments basis

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Abrar U. Hassan, Sajjad H. Sumrra, Mamduh J. Aljaafreh
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引用次数: 0

Abstract

Context

The engineering of supramolecular π–cation interaction systems can offer a route to enhance nonlinear optical (NLO) properties. In this work, molecular C10 systems, externally doped with alkali (Li, Na, K) and alkaline earth metals (Be, Mg, Ca) are investigated computationally to quantify quadrupole moments and hyperpolarizabilities (β0). The C10 exhibits a large HOMOLUMO gap (Egap) (4.05 eV), high hardness (η, 2.03 eV), and negligible β0, consistent with stability and low reactivity. The doping alters C10 dramatically as Na@C10 shows highest β0 (17,105 a.u.) and strongest quadrupole distortion (–8.97 × 1017 Å), while Mg@C10 yields the lowest Egap (0.19 eV), reflecting extreme reactivity but moderate optical response. In contrast, K@C10 exhibits the weakest enhancement (β0 = 254 a.u.), and Ca@C10 positive quadrupole (+ 1.49 × 1017 Å) highlights a distinct charge redistribution mechanism. Global reactivity parameters confirm enhanced softness (σ) (up to 1.68 for Na@C10) and reduced ionization potentials (0.29 eV for Mg@C10).

Methods

Density functional theory (DFT) calculations are performed with PBE-D3/def2-TZVP level, with electronic spectra evaluated via TD-DFT. Quadrupole moments (Qzz), polarizabilities (α), and hyperpolarizabilities (β) are computed, alongside, transition density matrix (TDM), hole–electron overlap, and charge density difference (CDD) studies. Quadrupole moments were computed as the Qzz component of the traceless Cartesian quadrupole tensor, as implemented in Gaussian 09 (using the keyword “pop = full”). The Qzz values are reported in Debye•Å (D•Å), which is the SI-compatible unit for molecular quadrupole moments (1 D•Å = 3.336 × 10–30 C•m2). To facilitate comparison with literature, the values are scaled by a factor of 101⁷ and tabulated in Table 1 as Qzz /101⁷ D•Å. The Qzz component was selected because the molecular principal axis of C10 and all doped systems lies along the z-axis, making Qzz the most physically meaningful descriptor of axial charge redistribution upon metal doping. This definition, unit system, and conversion factor are now explicitly stated in Table 1 caption. The global reactivity parameters (IP, EA, χ, μ, η, σ, ω) are derived using Koopmans theorem, and density of states (DOS) spectra are generated.

Graphical Abstract

The alternative text for this image may have been generated using AI.
建立分子C10-π-阳离子相互作用体系,报道四极矩基础。
背景:超分子π-阳离子相互作用体系的工程化为提高非线性光学性能提供了一条途径。在这项工作中,研究了外部掺杂碱(Li, Na, K)和碱土金属(Be, Mg, Ca)的分子C10体系,以计算量化四极矩和超极化率(β0)。C10具有较大的HOMO-LUMO隙(Egap) (4.05 eV)、较高的硬度(η, 2.03 eV)和可忽略的β0,具有较低的反应活性和稳定性。掺杂显著改变了C10, Na@C10的β0最高(17,105 a.u),四极畸变最强(-8.97 × 1017 Å),而Mg@C10的Egap最低(0.19 eV),反映出极强的反应性,但光响应适中。相反,K@C10表现出最弱的增强(β0 = 254 a.u),而Ca@C10正四极子(+ 1.49 × 1017 Å)显示出明显的电荷再分配机制。总体反应性参数证实柔软度(σ)增强(Na@C10高达1.68),电离势降低(Mg@C10为0.29 eV)。方法:用PBE-D3/def2-TZVP水平进行密度泛函理论(DFT)计算,用TD-DFT评估电子能谱。计算了四极矩(Qzz)、极化率(α)和超极化率(β),以及跃迁密度矩阵(TDM)、空穴-电子重叠和电荷密度差(CDD)的研究。四极矩作为无迹笛卡尔四极张量的Qzz分量计算,在高斯09中实现(使用关键字“pop = full”)。Qzz值在Debye•Å (D•Å)中报道,它是分子四极矩的si兼容单位(1 D•Å = 3.336 × 10-30 C•m2)。为了便于与文献进行比较,将这些值按101⁷系数进行缩放,并在表1中以Qzz /101⁷D•Å的形式列示。之所以选择Qzz分量,是因为C10和所有掺杂体系的分子主轴都沿z轴,这使得Qzz是金属掺杂后轴向电荷重分布的最有物理意义的描述子。这个定义、单位制和换算系数现在在表1标题中明确说明。利用Koopmans定理推导了反应性参数(IP、EA、χ、μ、η、σ、ω),生成了态密度谱(DOS)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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