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Polarizability of Polymers Using One-Electron Self-Interaction-Corrected Density Functional Methods
Prakash Mishra1, Yoh Yamamoto2, Peter Ufondu1
1Computational Science Program, The University of Texas at El Paso, El Paso, Texas 79968, United States.
Density functional approximations often overestimate polymer polarization. The locally scaled self-interaction correction (LSIC) method accurately predicts static linear polarizability in conjugated polymers like PDA and PBT.
Area of Science:
- Computational chemistry
- Materials science
- Quantum mechanics
Background:
- Density functional approximations (DFAs) commonly exhibit delocalization errors.
- These errors lead to overestimation of static linear polarizability in conjugated polymers under electric fields.
- Accurate polarizability is crucial for understanding polymer response to external stimuli.
Purpose of the Study:
- To evaluate the performance of self-interaction correction methods in predicting polymer polarizability.
- To compare Perdew-Zunger self-interaction correction (PZSIC) and locally scaled self-interaction correction (LSIC) against benchmark data.
- To identify accurate computational methods for conjugated polymer polarization.
Main Methods:
- Application of PZSIC and LSIC methods to polydiacetylene (PDA) and polybutatriene (PBT) oligomers.
- Calculation of static linear polarizability using these methods.
- Comparison of results with benchmark coupled cluster calculations (CCSD(T)-F12).
Main Results:
- PZSIC significantly underestimates polarizability due to overbinding of electrons.
- LSIC provides an accurate description of polarization effects in PDA and PBT oligomers.
- LSIC shows one of the lowest percent errors for PBT and the lowest for PDA compared to literature methods.
Conclusions:
- LSIC is a promising method for accurately calculating the static linear polarizability of conjugated polymers.
- Self-interaction correction is essential for mitigating delocalization errors in DFAs.
- LSIC offers a reliable approach for studying electronic properties of organic materials.
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