Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Identifying and Investigating Spatial Features in InGaAs Solar Cells by Hyperspectral Luminescence Imaging

Published

Author(s)

Brianna Conrad, Behrang Hamadani

Abstract

Hyperspectral luminescence imaging adds high-resolution spectral data to the electroluminescence and photoluminescence images of photovoltaic materials and devices. This enables absolute calibration across a range of spectra and, subsequently, enhances the information that can be gained from such measurements. We present a temperature-dependent luminescence hyperspectral imaging study of dilute InGaAs solar cells. We are able to identify the cause of dark spots on the device as local areas with increased defect-related recombination and identify a likely candidate for the type of defect. Hyperspectral images also reveal a device-wide pattern in low-energy-tail luminescence and In alloy fraction, which corresponds with increased non-radiative recombination. This pattern would not be identifiable with conventional imaging methods. Detailed information on such features is useful as, paired with the knowledge of fabrication processes and device design features, it can help identify the ways to reduce associated non-radiative recombination and improve device performance.
Citation
AIP Advances

Keywords

hyperspectral imaging, GaAs solar cells, photovoltaics, defects, spectroscopy, renewable energy

Citation

Conrad, B. and Hamadani, B. (2023), Identifying and Investigating Spatial Features in InGaAs Solar Cells by Hyperspectral Luminescence Imaging, AIP Advances, [online], https://doi.org/10.1063/5.0131691, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934996 (Accessed April 20, 2024)
Created March 10, 2023, Updated April 2, 2023