{"title":"The effect of the oxygen dangling on the thermoelectric properties of organic Thienoisoindigo single-molecule junction","authors":"Ahmed K. Ibrahim, Alaa A. Al-Jobory","doi":"10.1007/s00894-024-06200-y","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Theoretical investigation for thermoelectric characteristics of organic Thienoisoindigo single-molecule is carried out using the first-principles calculations based on the density functional theory. It reveals that modifying the position or removing oxygen atoms significantly alters the thermoelectric properties. Transmission coefficient calculations show that the lowest unoccupied molecular orbital (LUMO) dominates across all molecular configurations. Repositioning oxygen atoms increases the bandgap from 1.14 to 1.53 eV, while the complete removal of oxygen further increases to 1.8 eV. This change leads to the disruption of constructive quantum interference, which is replaced by destructive one. The electrical conductance is similarly affected by changes in oxygen atom positioning, with values shifting from <span>\\(-\\)</span>1.06 to <span>\\(-\\)</span>1.63. Molecules without oxygen atoms exhibit lower conductance compared to those with dangling oxygen, resulting in reduced semiconductor-like behavior and enhanced insulating properties. The Seebeck coefficient remains stable at <span>\\(-\\)</span>2.99 <span>\\(\\varvec{\\mu }\\)</span>V/K when oxygen atoms are repositioned. However, the removal of one oxygen atom changes the coefficient to a positive value (290.14 <span>\\(\\varvec{\\mu }\\)</span>V/K), causing the molecule to transition from n-type to p-type behavior. The complete absence of oxygen atoms returns the Seebeck coefficient to a negative value (<span>\\(-\\)</span>256.08 <span>\\(\\varvec{\\mu }\\)</span>V/K), switching the molecule back to n-type conduction.</p><h3>Methods</h3><p>This investigation was achieved by applying the SIESTA software through density functional theory (DFT) computations. To account for exchange and correlation effects, we use a double-zeta polarized (DZP) basis set in conjunction with the generalized gradient approximation (GGA-PBE) to determine the ideal ground-state atomic locations. By combining the Hamiltonian of each system with the quantum transport code GOLLUM, we can calculate the transmission coefficient, projected density of states, electrical conductance, and Seebeck coefficient to examine the thermoelectric characteristics of the molecular junction.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"30 12","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-11-21","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://link.springer.com/article/10.1007/s00894-024-06200-y","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
Theoretical investigation for thermoelectric characteristics of organic Thienoisoindigo single-molecule is carried out using the first-principles calculations based on the density functional theory. It reveals that modifying the position or removing oxygen atoms significantly alters the thermoelectric properties. Transmission coefficient calculations show that the lowest unoccupied molecular orbital (LUMO) dominates across all molecular configurations. Repositioning oxygen atoms increases the bandgap from 1.14 to 1.53 eV, while the complete removal of oxygen further increases to 1.8 eV. This change leads to the disruption of constructive quantum interference, which is replaced by destructive one. The electrical conductance is similarly affected by changes in oxygen atom positioning, with values shifting from \(-\)1.06 to \(-\)1.63. Molecules without oxygen atoms exhibit lower conductance compared to those with dangling oxygen, resulting in reduced semiconductor-like behavior and enhanced insulating properties. The Seebeck coefficient remains stable at \(-\)2.99 \(\varvec{\mu }\)V/K when oxygen atoms are repositioned. However, the removal of one oxygen atom changes the coefficient to a positive value (290.14 \(\varvec{\mu }\)V/K), causing the molecule to transition from n-type to p-type behavior. The complete absence of oxygen atoms returns the Seebeck coefficient to a negative value (\(-\)256.08 \(\varvec{\mu }\)V/K), switching the molecule back to n-type conduction.
Methods
This investigation was achieved by applying the SIESTA software through density functional theory (DFT) computations. To account for exchange and correlation effects, we use a double-zeta polarized (DZP) basis set in conjunction with the generalized gradient approximation (GGA-PBE) to determine the ideal ground-state atomic locations. By combining the Hamiltonian of each system with the quantum transport code GOLLUM, we can calculate the transmission coefficient, projected density of states, electrical conductance, and Seebeck coefficient to examine the thermoelectric characteristics of the molecular junction.
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.