{"title":"Novel push-pull dyes with cyclic ring spacers (titanol, chromol, ferrol, nickelol, and zinkol): a DFT study for optoelectronic optimization in DSSCs.","authors":"Mourad Zouaoui-Rabah, Abdelkader M Elhorri, Madani Hedidi, Hicham Mahdjoub-Araibi, Laib Assia, Mahammed Zenati","doi":"10.1007/s00894-025-06414-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>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 (λ<sub>max</sub> = 570 nm) with a high LHE (85%) and oscillator strength (f = 0.830), whereas the nickel-based dye (Dye4) exhibits redshifted absorption (λ<sub>max</sub> = 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 (ΔG<sub>solv</sub> < - 61 kcal·mol⁻<sup>1</sup>), enhancing light absorption and stability. Critical metrics such as electron injection energy (ΔG<sub>inj</sub>), open-circuit voltage (V<sub>oc</sub>), and regeneration energy (ΔG<sub>reg</sub>) 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.</p><p><strong>Method: </strong>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.</p>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 7","pages":"191"},"PeriodicalIF":2.1000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1007/s00894-025-06414-8","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
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.
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.