Ionization Energies, Electron Affinities, and Polarization Energies of Organic Molecular Crystals: Quantitative Estimations from a Polarizable Continuum Model (PCM)–Tuned Range-Separated Density Functional Approach
Ravva, Mahesh Kumar
KAUST DepartmentKAUST Solar Center (KSC)
Laboratory for Computational and Theoretical Chemistry of Advanced Materials
Material Science and Engineering Program
Physical Science and Engineering (PSE) Division
Online Publication Date2016-05-26
Print Publication Date2016-06-14
Permanent link to this recordhttp://hdl.handle.net/10754/610565
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AbstractWe propose a new methodology for the first-principles description of the electronic properties relevant for charge transport in organic molecular crystals. This methodology, which is based on the combination of a non-empirical, optimally tuned range-separated hybrid functional with the polarizable continuum model, is applied to a series of eight representative molecular semiconductor crystals. We show that it provides ionization energies, electron affinities, and transport gaps in very good agreement with experimental values as well as with the results of many-body perturbation theory within the GW approximation at a fraction of the computational costs. Hence, this approach represents an easily applicable and computationally efficient tool to estimate the gas-to-crystal-phase shifts of the frontier-orbital quasiparticle energies in organic electronic materials.
CitationIonization Energies, Electron Affinities, and Polarization Energies of Organic Molecular Crystals: Quantitative Estimations from a Polarizable Continuum Model (PCM)–Tuned Range-Separated Density Functional Approach 2016 Journal of Chemical Theory and Computation
SponsorsThe authors thank Prof. S. Kümmel for helpful discussions about the combination of the optimal tuning procedure with polarizable continuum solvation models. This work has been supported by King Abdullah University of Science and Technology (KAUST). We acknowledge the KAUST IT Research Computing Team for providing computational and storage resources.
PublisherAmerican Chemical Society (ACS)
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