Rapid nonlinear imaging spectroscopy for advanced material characterization

ORAL

Abstract

2D materials are a promising material platform for quantum information science, photovoltaics, and related device applications. However, it is important to distinguish between the intrinsic properties of these materials and properties due to extrinsic effects such as defects, inhomogeneity, or strain.

Here, we demonstrate nonlinear imaging spectroscopy of 2D materials that assesses the quality of samples through measurement of their nonlinear response, exciton dephasing, and exciton lifetimes. We use an exfoliated MoSe2 monolayer, chemical-vapor-deposition-grown WSe2 monolayer, and exfoliated MoSe2/WSe2 heterostructure as canonical examples to demonstrate these capabilities.

By comparison, we show that extracting material parameters such as four-wave mixing (FWM) intensity, dephasing times, excited state lifetimes, exciton-coupling strength, and distribution of dark/localized states allows for a more accurate assessment of the quality of a sample than current prevalent techniques, including white light microscopy, linear micro-reflectance spectroscopy, and photo-luminescence. In addition, we highlight the sensitivity of spatial and temporal coherence toward strain while coherent exciton coupling and charge transfer in these samples remain mostly unaffected.

*NSF Grant No. 2016356, DOE grant DESC0022179, NSF Grant No. 2015068, DOE grant DE-SC0012509, NSF Grant DGE-1762114

Publication: Purz, T. L., Hipsley, B. T., Martin, E. W., Ulbricht, R., & Cundiff, S. T. (2022). Rapid multiplex ultrafast nonlinear microscopy for material characterization. arXiv. https://doi.org/10.48550/arXiv.2208.06633 (accepted for publication)

Torben L. Purz, Eric W. Martin, William G. Holtzmann, Pasqual Rivera, Adam Alfrey, Kelsey M. Bates, Hui Deng, Xiaodong Xu, and Steven T. Cundiff, "Imaging dynamic exciton interactions and coupling in transition metal dichalcogenides", J. Chem. Phys. 156, 214704 (2022) https://doi.org/10.1063/5.0087544

Presenters

  • Torben Lennart Purz

    • University of Michigan

Authors

  • Torben Lennart Purz

    • University of Michigan
  • Eric W Martin

    • MONSTR Sense Technologies
    • MONSTR Sense Technologies, LLC
  • Blake T Hipsley

    • University of Michigan
  • William G Holtzmann

    • University of Washington
  • Pasqual Rivera

    • University of Washington
  • Adam Alfrey

    • University of Michigan
  • Kelsey M Bates

    • University of Michigan
  • Ronald Ulbricht

    • Max Planck Institute for Polymer Research
  • Hui Deng

    • University of Michigan
  • Xiaodong Xu

    • University of Washington
  • Steven T Cundiff

    • University of Michigan