Mapping the intrinsic photocurrent streamlines through micromagnetic heterostructure devices

POSTER

Abstract

Photocurrent in quantum materials is often collected at global contacts far away from the initial photoexcitation. This collection process is highly nonlocal. It involves an intricate spatial pattern of photocurrent flow (streamlines) away from its primary photoexcitation that depends sensitively on the configuration of current collecting contacts as well as the spatial nonuniformity and tensor structure of conductivity. Direct imaging to track photocurrent streamlines is challenging. In our recent work (doi.org/10.1073/pnas.2221815120), we demonstrate a microscopy method to image photocurrent streamlines through ultrathin heterostructure devices comprising platinum on yttrium iron garnet (YIG). We accomplish this by combining scanning photovoltage microscopy with a uniform rotating magnetic field. Here, local photocurrent is generated through a photo-Nernst type effect with its direction controlled by the external magnetic field. This enables the mapping of photocurrent streamlines in a variety of geometries that include conventional Hall bar-type devices, but also unconventional wing-shaped devices called electrofoils. In these, we find that photocurrent streamlines display contortion, compression, and expansion behavior depending on the shape and angle of attack of the electrofoil devices, much in the same way as tracers in a wind tunnel map the flow of air around an aerodynamic airfoil. This affords a powerful tool to visualize and characterize charge flow in optoelectronic devices.

Publication: https://doi.org/10.1073/pnas.2221815120
Mapping the intrinsic photocurrent streamlines through micromagnetic heterostructure devices
David Mayes1, Farima Farahmand1, Maxwell Grossnickle1, Mark Lohmann, Mohammed Aldosary, Junxue Li, Vivek Aji, Jing Shi, Justin C. W. Song, and Nathaniel M. Gabor

Presenters

  • Farima Farahmand

    • UCR
    • University of California, Riverside

Authors

  • Farima Farahmand

    • UCR
    • University of California, Riverside
  • David Mayes

    • University of California, Riverside
  • Maxwell Grossnickle

    • University of California, Riverside
  • Mark I Lohmann

    • University of California, Riverside
  • Mohammed Aldosary

    • University of California, Riverside
  • Junxue Li

    • Southern University of Science and Technology
  • Vivek M Aji

    • University of California Riverside
  • Justin Song

    • Nanyang Technological University
    • NTU Singapore
  • Nathaniel M Gabor

    • University of California, Riverside