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Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
Published on: May 27, 2020
Quantitative Prediction of Optical Absorption in Molecular Solids from an Optimally Tuned Screened Range-Separated
Arun K Manna1, Sivan Refaely-Abramson1, Anthony M Reilly2
1Department of Materials and Interfaces , Weizmann Institute of Science , Rehovoth 76100 , Israel.
We present a new method using optimally tuned screened range-separated hybrid (OT-SRSH) functionals to accurately predict molecular solid properties. This time-dependent density functional theory (TDDFT) approach offers a robust alternative for studying complex materials.
Area of Science:
- Computational Chemistry
- Materials Science
- Quantum Mechanics
Background:
- Predicting electronic properties of molecular solids is crucial for materials design.
- Traditional methods often face computational limitations for complex systems.
- Accurate prediction of fundamental gaps and optical spectra remains a challenge.
Purpose of the Study:
- To develop and validate a nonempirical, quantitative approach for predicting molecular solid properties.
- To utilize time-dependent density functional theory (TDDFT) with a novel functional for solid-state calculations.
- To benchmark the accuracy against established many-body perturbation theory methods.
Main Methods:
- Employed the optimally tuned screened range-separated hybrid (OT-SRSH) functional.
- Incorporated long-range dielectric screening for solid-state effects.
- Performed self-consistent periodic-boundary calculations for crystalline solids.
- Benchmarked against the X23 molecular solids set and GW-BSE calculations.
Main Results:
- Achieved quantitative and nonempirical predictions of fundamental gaps and optical spectra.
- Demonstrated the robustness of the OT-SRSH approach for molecular solids.
- Found that dielectric screening impacts fundamental gaps more than optical spectra.
Conclusions:
- The OT-SRSH functional approach provides accurate predictions for molecular solids.
- This TDDFT-based method is a viable and robust alternative to computationally intensive techniques.
- Enables studies of molecular solids previously beyond computational reach.
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