Advanced numerical modeling of light-matter interactions at nanometer length scales

ORAL

Abstract

Scattering-type, scanning near-field infrared microscopy (S-SNIM) is a cutting-edge experimental technique that allows infrared spectra to be obtained at nanometer scale spatial resolution well beyond the diffraction limit of light. Effective extraction of meaningful information from experimental data relies on accurate modeling of the light-probe-sample interaction. This is especially true in media with more intricate geometries and optical properties such as thin films, nanostructures, and anisotropic materials because analytical models are inadequate for these systems. Here we demonstrate advanced, fully numerical methods to simulate the near-field infrared response of different systems and compare directly with experimental data. We will present spectra of thin films (e.g. SiO2 films on Si substrates and surface metallicity of SrTiO3), spectra and imaging of nanostructures (e.g. nano-platelets of Cu2S), and the near-field infrared response of materials with anisotropic dielectric function (e.g. rutile TiO2). This work demonstrates fully numerical simulations as a universal and reliable way forward for modeling of experimental S-SNIM spectra from a diverse range of systems.

*MMQ acknowledges support from the NSF via grant No. IIP-1827536. HTK and MMQ acknowledge support from IITP grant funded by the Korean government MSIT (grant 2017-0-00830). The simulation work was performed, in part, using computing facilities at the College of William & Mary which are supported by contributions from the National Science Foundation, the Commonwealth of Virginia Equipment Trust Fund, and the Office of Naval Research.

Presenters

  • Haoyue Jiang

    • College of William and Mary
    • Department of Physics, College of William & Mary

Authors

  • Haoyue Jiang

    • College of William and Mary
    • Department of Physics, College of William & Mary
  • Patrick McArdle

    • College of William & Mary
  • David J Lahneman

    • College of William and Mary
    • Department of Physics, College of William & Mary
  • M.Mumtaz Qazilbash

    • College of William and Mary
    • Department of Physics, College of William & Mary
    • College of William & Mary
  • Tetiana Slusar

    • ETRI
  • Hyun-Tak Kim

    • ETRI
  • Amlan Biswas

    • University of Florida
  • Jingyi Chen

    • University of Arkansas