Literature DB >> 23224940

Simple and accurate correlation of experimental redox potentials and DFT-calculated HOMO/LUMO energies of polycyclic aromatic hydrocarbons.

Dalvin D Méndez-Hernández1, Pilarisetty Tarakeshwar, Devens Gust, Thomas A Moore, Ana L Moore, Vladimiro Mujica.   

Abstract

The ability to accurately predict the oxidation and reduction potentials of molecules is very useful in various fields and applications. Quantum mechanical calculations can be used to access this information, yet sometimes the usefulness of these calculations can be limited because of the computational requirements for large systems. Methodologies that yield strong linear correlations between calculations and experimental data have been reported, however the balance between accuracy and computational cost is always a major issue. In this work, linear correlations (with an R(2) value of up to 0.9990) between DFT-calculated HOMO/LUMO energies and 70 redox potentials from a series of 51 polycyclic aromatic hydrocarbons (obtained from the literature) are presented. The results are compared to previously reported linear correlations that were obtained with a more expensive computational methodology based on a Born-Haber thermodynamic cycle. It is shown in this article that similar or better correlations can be obtained with a simple and cheaper calculation.

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Year:  2012        PMID: 23224940     DOI: 10.1007/s00894-012-1694-7

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  12 in total

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Journal:  J Comput Chem       Date:  2003-04-30       Impact factor: 3.376

3.  Expanding and testing a computational method for predicting the ground state reduction potentials of organic molecules on the basis of empirical correlation to experiment.

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Journal:  J Org Chem       Date:  2012-07-16       Impact factor: 4.354

4.  Efficient computational methods for accurately predicting reduction potentials of organic molecules.

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Journal:  J Phys Chem A       Date:  2008-06-26       Impact factor: 2.781

5.  Molecular engineering of organic sensitizers for dye-sensitized solar cell applications.

Authors:  Daniel P Hagberg; Jun-Ho Yum; Hyojoong Lee; Filippo De Angelis; Tannia Marinado; Karl Martin Karlsson; Robin Humphry-Baker; Licheng Sun; Anders Hagfeldt; Michael Grätzel; Md K Nazeeruddin
Journal:  J Am Chem Soc       Date:  2008-04-18       Impact factor: 15.419

6.  Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.

Authors: 
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Journal:  Phys Rev A Gen Phys       Date:  1988-09-15

8.  Electrochemical considerations for determining absolute frontier orbital energy levels of conjugated polymers for solar cell applications.

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Journal:  Adv Mater       Date:  2011-05-24       Impact factor: 30.849

9.  Novel zinc porphyrin sensitizers for dye-sensitized solar cells: synthesis and spectral, electrochemical, and photovoltaic properties.

Authors:  Cheng-Wei Lee; Hsueh-Pei Lu; Chi-Ming Lan; Yi-Lin Huang; You-Ren Liang; Wei-Nan Yen; Yen-Chun Liu; You-Shiang Lin; Eric Wei-Guang Diau; Chen-Yu Yeh
Journal:  Chemistry       Date:  2009       Impact factor: 5.236

10.  Tuning the HOMO and LUMO energy levels of organic chromophores for dye sensitized solar cells.

Authors:  Daniel P Hagberg; Tannia Marinado; Karl Martin Karlsson; Kazuteru Nonomura; Peng Qin; Gerrit Boschloo; Tore Brinck; Anders Hagfeldt; Licheng Sun
Journal:  J Org Chem       Date:  2007-11-03       Impact factor: 4.354

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  5 in total

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2.  Linear correlation models for the redox potential of organic molecules in aqueous solutions.

Authors:  Jessica C Ortiz-Rodríguez; Juan A Santana; Dalvin D Méndez-Hernández
Journal:  J Mol Model       Date:  2020-03-07       Impact factor: 1.810

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4.  Role of redox-inactive metals in controlling the redox potential of heterometallic manganese-oxido clusters.

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Journal:  Photosynth Res       Date:  2021-05-28       Impact factor: 3.573

5.  Pyrenetetrone Derivatives Tailored by Nitrogen Dopants for High-Potential Cathodes in Lithium-Ion Batteries.

Authors:  Chae Young Go; Gyeong Seok Jeong; Ki Chul Kim
Journal:  iScience       Date:  2019-10-16
  5 in total

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