کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5435356 1509347 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
No single DFT method can predict Raman cross-sections, frequencies and electronic absorption maxima of oligothiophenes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد بیومتریال
پیش نمایش صفحه اول مقاله
No single DFT method can predict Raman cross-sections, frequencies and electronic absorption maxima of oligothiophenes
چکیده انگلیسی


- Raman cross-sections of four to ten unit oligothiophenes measured.
- Several common DFT methods used to model Raman and UV/vis spectra.
- TD-DFT results can be easily corrected by adjusting amount of Hartee-Fock exchange.
- This does not improve modeling of Raman spectra and is not predictive.

Density functional theory (DFT) is a popular method for modeling the properties of organic photovoltaic materials. The ability of various functionals to predict the electronic absorption and Raman spectra of oligothiophenes is assessed. Time-Dependent DFT (TD-DFT) is commonly used for modeling electron absorption spectra but often gives spurious results. We show here that a linear relationship between the percentage of Hartree-Fock exchange (%HF) used by a density functional and the predicted excitation energy exists. This allows for tuning of hybrid functionals which can accurately predict the bandgap of four different oligothiophenes. For instance, 33% HF is required for a four unit oligothiophene which absorbs at 379 nm (3.27 eV) while 46% HF is required for a ten unit oligothiophene absorbing at 458 nm (2.71 eV). Raman spectroscopy is also used to understand conjugation in highly conjugated molecules. The Raman scattering cross-sections and frequencies of the same four oligothiophenes were measured and compared to those modeled by DFT. We show that the DFT models tuned to correctly the visible absorption bands overestimate the Raman cross-sections and underestimate their frequencies. These results should be taken into account when modeling future conjugated materials.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Synthetic Metals - Volume 231, September 2017, Pages 1-6
نویسندگان
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