JOURNAL ARTICLE

Influence of image forces on charge–dipole interaction in two-layered systems.

  • Published In: Journal of Chemical Physics, 2024, v. 160, n. 18. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Gabovich, Alexander M.; Gorshkov, Vyacheslav N.; Semeniuk, Valerii F.; Voitenko, Alexander I. 3 of 3

Abstract

This article investigates the electrostatic interaction between a fixed point charge \( Q \) and a freely rotating point dipole \( P \) located near the planar interface between two insulating media with different dielectric permittivities \(\varepsilon_1\) and \(\varepsilon_2\). It demonstrates that the competition between the charge–dipole interaction and the dipole’s image-force self-energy induced by the dielectric mismatch leads to spatial regions where the dipole can have either one (O1) or two (O2) equilibrium orientations, with complex boundaries that evolve depending on parameters such as the magnitudes of \( Q \) and \( P \), their relative positions, and the dielectric contrast. Analytical expressions for the dipole orientation maps, the O1–O2 boundary profiles, and their parameter-dependent evolution are derived, revealing phenomena such as the emergence of closed O2 or O1 regions and cusped boundaries. The study further predicts the existence of local minima in the total electrostatic dipole energy near the interface, which can act as traps for dipoles—relevant for excitons, trions, polar molecules, and Rydberg states in layered heterostructures—and discusses implications for exciton behavior, charge carrier interactions, and device physics in layered electronic and optoelectronic systems.

Additional Information

  • Source:Journal of Chemical Physics. 2024/05, Vol. 160, Issue 18, p1
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2024
  • ISSN:0021-9606
  • DOI:10.1063/5.0208114
  • Accession Number:177227169
  • Copyright Statement:Copyright of Journal of Chemical Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.