Numerical study of high-efficiency CIGS solar cells by inserting a BSF µc-Si: H layer

R Zouache, I Bouchama, O Saidani, L Djedoui… - Journal of …, 2022 - Springer
In this paper, we present a simulation study of Cu (In, Ga) Se2 (CIGS) based solar cell using
a physically based two-dimensional device simulator Silvaco-Atlas under AM1. 5 …

On the conversion between recombination rates and electronic defect parameters in semiconductors

MK Juhl, FD Heinz, G Coletti… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
With the remarkable advances in semiconductor processing, devices such as solar cells
have fewer and fewer defects that impact their performance. Determination of the defects …

Gallium‐doped silicon for high‐efficiency commercial passivated emitter and rear solar cells

NE Grant, PP Altermatt, T Niewelt, R Post… - Solar …, 2021 - Wiley Online Library
Czochralski‐grown gallium‐doped silicon wafers are now a mainstream substrate for
commercial passivated emitter and rear cell (PERC) devices and allow retention of …

Optimization of defected ZnO/Si/Cu2O heterostructure solar cell

S Boudour, I Bouchama, M Hadjab, S Laidoudi - Optical Materials, 2019 - Elsevier
In the present work, we review the optimization of the performance of a newly defected
ZnO/Si/Cu 2 O heterojunction solar cell using the Analysis of Microelectronic and Photonic …

Evaluation of damage coefficient for minority-carrier diffusion length of triple-cation perovskite solar cells under 1 MeV electron irradiation for space applications

Y Miyazawa, GM Kim, A Ishii, M Ikegami… - The Journal of …, 2021 - ACS Publications
Organo-halide perovskite solar cells (PSCs) are lightweight and low cost, and they offer high
power conversion efficiencies. PSCs have proven to be useful in terrestrial applications. In …

[HTML][HTML] Extracting the parameters of two-energy-level defects in silicon wafers using machine learning models

S Wang, B Wright, Y Zhu, Y Buratti, Z Hameiri - Solar Energy Materials and …, 2024 - Elsevier
This study introduces a pioneering machine learning (ML)-based methodology to
characterise two-level defects in the bulk of silicon wafers. Bulk defects have a critical impact …

Review of injection dependent charge carrier lifetime spectroscopy

Y Zhu, Z Hameiri - Progress in Energy, 2021 - iopscience.iop.org
Abstract Characterization and identification of recombination active defects in photovoltaic
(PV) materials are essential for improving the performance of solar cells, hence, reducing …

Deep Learning Extraction of the Temperature-Dependent Parameters of Bulk Defects

Y Buratti, J Dick, Q Le Gia… - ACS Applied Materials & …, 2022 - ACS Publications
Bulk defects in silicon solar cells are a key contributor to loss of efficiency. To detect and
identify those defects, temperature-and injection-dependent lifetime spectroscopy is usually …

Electrical Characterization of Thermally Activated Defects in n-Type Float-Zone Silicon

Y Zhu, F Rougieux, NE Grant… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Float-zone (FZ) silicon is usually assumed to be bulk defect-lean and stable. However,
recent studies have revealed that detrimental defects can be thermally activated in FZ silicon …

Numerical modeling and analysis of AZO/Cu2O transparent solar cell with a TiO2 buffer layer

N Sliti, S Touihri, ND Nguyen - Engineering Research Express, 2023 - iopscience.iop.org
In the present work, titanium dioxide (TiO 2) is sandwiched as a buffer layer between n-type
aluminum-doped zinc oxide (AZO) and p-type cuprous oxide (Cu 2 O), increasing the …