Unknown

Dataset Information

0

Calculating Optical Absorption Spectra of Thin Polycrystalline Organic Films: Structural Disorder and Site-Dependent van der Waals Interaction.


ABSTRACT: We propose a new approach for calculating the change of the absorption spectrum of a molecule when moved from the gas phase to a crystalline morphology. The so-called gas-to-crystal shift ?[Formula: see text] m is mainly caused by dispersion effects and depends sensitively on the molecule's specific position in the nanoscopic setting. Using an extended dipole approximation, we are able to divide ?[Formula: see text] m = -QWm in two factors, where Q depends only on the molecular species and accounts for all nonresonant electronic transitions contributing to the dispersion while Wm is a geometry factor expressing the site dependence of the shift in a given molecular structure. The ability of our approach to predict absorption spectra is demonstrated using the example of polycrystalline films of 3,4,9,10-perylenetetracarboxylic diimide (PTCDI).

SUBMITTER: Megow J 

PROVIDER: S-EPMC4360364 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Calculating Optical Absorption Spectra of Thin Polycrystalline Organic Films: Structural Disorder and Site-Dependent van der Waals Interaction.

Megow Jörg J   Körzdörfer Thomas T   Renger Thomas T   Sparenberg Mino M   Blumstengel Sylke S   Henneberger Fritz F   May Volkhard V  

The journal of physical chemistry. C, Nanomaterials and interfaces 20150224 10


We propose a new approach for calculating the change of the absorption spectrum of a molecule when moved from the gas phase to a crystalline morphology. The so-called gas-to-crystal shift Δ[Formula: see text] <i><sub>m</sub></i> is mainly caused by dispersion effects and depends sensitively on the molecule's specific position in the nanoscopic setting. Using an extended dipole approximation, we are able to divide Δ[Formula: see text] <sub><i>m</i></sub> = -<i>QW</i><sub><i>m</i></sub> in two fac  ...[more]

Similar Datasets

| S-EPMC7054419 | biostudies-literature
| S-EPMC5684389 | biostudies-literature
| S-EPMC4379742 | biostudies-literature
| S-EPMC4776178 | biostudies-literature
| S-EPMC6949292 | biostudies-literature
| S-EPMC8423830 | biostudies-literature
| S-EPMC4557306 | biostudies-literature
| S-EPMC6814286 | biostudies-literature
| S-EPMC9271035 | biostudies-literature
| S-EPMC8517960 | biostudies-literature