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Polarizability of Polymers Using One-Electron Self-Interaction-Corrected Density Functional Methods.

Prakash Mishra1, Yoh Yamamoto2, Peter Ufondu1

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This summary is machine-generated.

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.

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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.