Unraveling quantum size-dependent optical phenomena in hot carrier quantum well structures
Abstract
The enhancement of power conversion efficiency beyond the theoretical limit of single-junction solar cells is a key objective in the advancement of hot carrier solar cells. Recent findings indicate that quantum wells (QWs) can effectively generate hot carriers by confining charged carriers within their potential wells and by optimizing material properties. Here, we investigate the impact of quantum confinement on the thermodynamic properties of photogenerated hot carriers in p–i–n InGaAs/InAlAs heterostructure diodes, utilizing QW thicknesses of 4, 5.5, and 7.5 nm. The experimental findings indicate that the widest QW demonstrates more pronounced hot carrier effects than the thinner quantum wells. This observation aligns with theoretical predictions and underscores the significance of the well width in influencing carrier dynamics. Additionally, the open-circuit voltage of the samples demonstrates a correlation with the degree of quantum confinement, mirroring trends observed in the quasi-Fermi level splitting of hot carriers. However, the substantial photo-absorption occurring in the InAlAs barrier presents challenges in accurately distinguishing the photocurrent attributed to hot carrier populations in the QWs from that arising from thermalized carriers within the barrier. This study examines the impact of quantum confinement on the optical properties of non-equilibrium hot carriers in QW structures and offers insights for developing efficient hot carrier absorbers for photovoltaic applications.
Article Details
Journal Info
Journal of Applied Physics
American Institute of Physics
Authors (9)
Nil Selen Aydin
Walter Schottky Institut, TUM School of Natural Sciences, Technical University of Munich 1 , Garching 85748,
Leopold Rothmayer
Walter Schottky Institut, TUM School of Natural Sciences, Technical University of Munich 1 , Garching 85748,
Nabi Isaev
Walter Schottky Institut, TUM School of Natural Sciences, Technical University of Munich 1 , 85748 Garching,
Pavel Avdienko
Walter Schottky Institut, TUM School of Natural Sciences, Technical University of Munich 1 , Garching 85748,
Nori N. Chavira Leal
TUM School of Computation, Information and Technology, Technical University of Munich 2 , Munich 80333,
Kai Müller
Jonathan J. Finley
Gregor Koblmüller
Walter Schottky Institut, TUM School of Natural Sciences, Technical University of Munich 1 , 85748 Garching,
Hamidreza Esmaielpour
Walter Schottky Institut, TUM School of Natural Sciences, Technical University of Munich 1 , 85748 Garching,