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We developed a frozen-density embedding (FDE) method to accurately model polarization in 2D materials, crucial for understanding charge migration in organic semiconductors.

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Condensed Matter Physics

Background:

  • Polarization effects are critical in organic semiconductors during charge migration.
  • Accurate modeling of these effects in 2D environments is computationally challenging.
  • Existing methods struggle with the infinite charge repetition and long-range interactions.

Purpose of the Study:

  • To introduce a novel frozen-density embedding (FDE) approach for treating polarization in 2D systems.
  • To enable accurate calculations of electron loss/attachment responses in organic semiconductors.
  • To provide a scalable method for large 2D molecular systems.

Main Methods:

  • Two-step FDE procedure: self-consistent relaxation of unperturbed density and local perturbation with freeze-thaw iterations.
  • Translation of subsystem density to compute long-range Coulomb potentials, using Van Wijngaarden transformation.
  • Application to purely electronic and geometric perturbations in large 2D molecular slabs.

Main Results:

  • The FDE approach effectively handles polarization effects in 2D environments without infinite charge repetition.
  • Demonstrated scalability for systems up to thousands of atoms, relevant for organic semiconductors.
  • Successfully applied to a charged dimer system, modeling polarization in a large surrounding.

Conclusions:

  • The proposed FDE scheme offers an efficient and accurate method for studying polarization in 2D materials.
  • This approach is vital for advancing the understanding of charge transport in organic semiconductors.
  • The method's scalability makes it suitable for complex, large-scale molecular system simulations.