Novel push–pull dyes with cyclic ring spacers (titanol, chromol, ferrol, nickelol, and zinkol): a DFT study for optoelectronic optimization in DSSCs

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Mourad Zouaoui-Rabah, Abdelkader M. Elhorri, Madani Hedidi, Hicham Mahdjoub–Araibi, Laib Assia, Mahammed Zenati
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引用次数: 0

Abstract

Context

This computational investigation delves into the strategic design of bimetallic Zn/M organometallic D–π–A dyes for dye-sensitized solar cells (DSSCs), with a focus on how transition metals (Ti, Cr, Fe, Ni) modulate optoelectronic behavior and photovoltaic performance. Employing density functional theory (DFT) and time-dependent DFT (TD–DFT) simulations, four dyes (Dye1–Dye4) were systematically evaluated for their light-harvesting efficiency (LHE), charge transfer kinetics, and stability under vacuum and tetrahydrofuran (THF) solvation. The results underscore distinct metal-dependent trade-offs: the chromium-based dye (Dye2) demonstrates outstanding visible-light absorption (λmax = 570 nm) with a high LHE (85%) and oscillator strength (f = 0.830), whereas the nickel-based dye (Dye4) exhibits redshifted absorption (λmax = 609 nm) and an extended excited-state lifetime (τ = 1.55 ns), advantageous for charge separation. Titanium (Dye1) and iron (Dye3) variants emerge as economical alternatives, offering moderate efficiency and stability. THF solvation induces pronounced bathochromic shifts (+ 138 nm for Dye1) and thermodynamically favorable interactions (ΔGsolv <  − 61 kcal·mol⁻1), enhancing light absorption and stability. Critical metrics such as electron injection energy (ΔGinj), open-circuit voltage (Voc), and regeneration energy (ΔGreg) emphasize the need to harmonize optical performance with charge management. The study advocates co-sensitization of Dye2 and Dye4 to synergistically broaden spectral response and boost power conversion efficiency. These findings pave the way for sustainable DSSCs leveraging earth-abundant metals, aligning with global initiatives for green energy innovation.

Method

All calculations were performed with Gaussian 16. Ground state geometries were optimized by DFT with the B3LYP functional. The LanL2DZ basis set was used for transition metals, while 6–31 +  + G(d,p) was used for non-metallic atoms. The solvation models studied are the CPCM (Conductor Polarizable Continuum) model and the SMD (Solvation Model Density) model. Excited state properties have been calculated using TD-DFT with the CAM-B3LYP functional to evaluate electronic transitions.

具有环间隔剂的新型推挽染料(钛醇、铬、铁、镍和锌醇):DSSCs光电优化的DFT研究。
背景:本计算研究深入探讨了染料敏化太阳能电池(DSSCs)双金属Zn/M有机金属D-π-A染料的策略设计,重点研究了过渡金属(Ti, Cr, Fe, Ni)如何调节光电行为和光伏性能。采用密度泛函理论(DFT)和时间相关DFT (TD-DFT)模拟,系统地评价了4种染料(Dye1-Dye4)在真空和四氢呋喃(THF)溶剂化下的光捕获效率(LHE)、电荷转移动力学和稳定性。结果强调了不同金属依赖的权衡:铬基染料(染料2)表现出出色的可见光吸收(λmax = 570 nm),具有高LHE(85%)和振荡器强度(f = 0.830),而镍基染料(染料4)表现出红移吸收(λmax = 609 nm)和延长的激发态寿命(τ = 1.55 ns),有利于电荷分离。钛(染料1)和铁(染料3)变体作为经济替代品出现,提供适度的效率和稳定性。THF溶剂化诱导明显的色移(染料1为+ 138 nm)和热力学上有利的相互作用(ΔGsolv 1),增强光吸收和稳定性。关键指标,如电子注入能量(ΔGinj),开路电压(Voc)和再生能量(ΔGreg)强调需要协调光学性能与电荷管理。该研究提倡染料2和染料4共敏,以协同拓宽光谱响应和提高功率转换效率。这些发现为可持续DSSCs利用地球上丰富的金属铺平了道路,与全球绿色能源创新倡议保持一致。方法:采用高斯16进行计算。利用B3LYP泛函对基态几何进行了DFT优化。过渡金属用LanL2DZ基集,非金属原子用6-31 + + G(d,p)基集。研究的溶剂化模型有CPCM(导体极化连续体)模型和SMD(溶剂化模型密度)模型。利用TD-DFT和CAM-B3LYP函数计算了激发态性质,以评估电子跃迁。
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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