{"title":"Molecular Tailoring Approach (MTA) Assisted Density Functional Theory Study for Large Core and Core-Shell Nanocluster Quantum Dots","authors":"Anant D. Kulkarni","doi":"10.1002/jcc.70189","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Molecular fragmentation-based method, viz. molecular tailoring approach (MTA) was employed with density functional framework to investigate prototype medium and large sized semiconductor quantum dots (QDs) of (CdSe)<sub>n</sub>, <i>n</i> = 33, 66, 99, 146, and 185 typically of size 1.5–2.7 nm. The trends computed for structural parameters and the band gap energies of prototype structures show a good agreement with those reported earlier for <i>n</i> ≤ 99. In order to study the effect of surface passivation, we use a representative model where 2-coordinated surface atoms of (CdSe)<sub>n</sub> QDs were saturated by hydrogen atoms. The prototype for passivated nanoclusters shows enhancement of band gap energy over their bare (CdSe)<sub>n</sub> counterparts. We further highlight the strength of our approach by extending the study for the modeled nanoclusters larger than 2.2 nm size, viz. (CdSe)<sub>146</sub> (diameter d = 2.5 nm), (CdSe)<sub>185</sub> (d = 2.7 nm), and a prototype core-shell (CS) QD, viz. (CdSe)<sub>66</sub>/(ZnS)<sub>119</sub>, (d = 2.8 nm), which is otherwise an arduous task on off-the-shelf contemporary hardware. MTA-assisted density functional method offers a reliable and rapid approach for initial steps of geometry optimization of medium and large nanoclusters. The geometrical features viz. surface reorganization through self-healing, selective localization of molecular orbitals, and size dependency of band gap are also retained by MTA. The present approach coupled with a dedicated high performance computer cluster thus has the potential of extending the limits of density functional framework to handle the nanoclusters larger than 3.5 nm (~few hundred atoms).</p>\n </div>","PeriodicalId":188,"journal":{"name":"Journal of Computational Chemistry","volume":"46 20","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Chemistry","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jcc.70189","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Molecular fragmentation-based method, viz. molecular tailoring approach (MTA) was employed with density functional framework to investigate prototype medium and large sized semiconductor quantum dots (QDs) of (CdSe)n, n = 33, 66, 99, 146, and 185 typically of size 1.5–2.7 nm. The trends computed for structural parameters and the band gap energies of prototype structures show a good agreement with those reported earlier for n ≤ 99. In order to study the effect of surface passivation, we use a representative model where 2-coordinated surface atoms of (CdSe)n QDs were saturated by hydrogen atoms. The prototype for passivated nanoclusters shows enhancement of band gap energy over their bare (CdSe)n counterparts. We further highlight the strength of our approach by extending the study for the modeled nanoclusters larger than 2.2 nm size, viz. (CdSe)146 (diameter d = 2.5 nm), (CdSe)185 (d = 2.7 nm), and a prototype core-shell (CS) QD, viz. (CdSe)66/(ZnS)119, (d = 2.8 nm), which is otherwise an arduous task on off-the-shelf contemporary hardware. MTA-assisted density functional method offers a reliable and rapid approach for initial steps of geometry optimization of medium and large nanoclusters. The geometrical features viz. surface reorganization through self-healing, selective localization of molecular orbitals, and size dependency of band gap are also retained by MTA. The present approach coupled with a dedicated high performance computer cluster thus has the potential of extending the limits of density functional framework to handle the nanoclusters larger than 3.5 nm (~few hundred atoms).
期刊介绍:
This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.