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Quantum‐Chemical Evaluation of Impact of Chlorination versus Fluorination on the Electronic Properties of Donors and Acceptors for Organic Solar Cells
Author(s) -
Wang Tonghui,
Brédas JeanLuc
Publication year - 2019
Publication title -
advanced theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.068
H-Index - 17
ISSN - 2513-0390
DOI - 10.1002/adts.201900136
Subject(s) - conjugated system , organic solar cell , density functional theory , molecule , chlorine , dipole , chemistry , computational chemistry , quantum , materials science , polymer , chemical physics , physics , quantum mechanics , organic chemistry
Much attention is given to replacing fluorine with chlorine when optimizing the chemical structures of π‐conjugated polymer donors and/or non‐fullerene small‐molecule acceptors (SMAs) in order to reduce the synthetic costs for large‐scale applications of organic solar cells. To rationalize the impact of chlorination versus fluorination on the electronic properties of π‐conjugated materials, quantum‐mechanical calculations have generally been carried out at the global‐hybrid becke three‐parameter Lee‐Yang‐Parr (B3LYP) level of theory. However, B3LYP suffers from drawbacks that are especially problematic in the case of π‐conjugated systems possessing a charge‐transfer character. Here, the dipole moments and energy levels of F‐ and Cl‐containing SMA fragments, that is, 1,2‐difluorobenzene and 1,2‐dichlorobenzene, are reevaluated at much more robust levels of theory. The results obtained with the (optimally tuned) long‐range corrected ωB97XD functional (coming from Head‐Gordon and coworkers and including dispersion corrections) turn out very close to those calculated with the “gold‐standard” CCSD(T) (coupled‐custer with single, double, and perturbative triple excitations) method. These results, however, both markedly differ from the B3LYP findings. This confirms that, for π‐conjugated systems, tuned long‐range corrected functionals provide a reasonable compromise between accuracy and computational cost, and that much caution must be exerted when using the popular B3LYP functional.