Cadmium telluride (CdTe)-based cells have emerged as the leading commercialized thin
film photovoltaic technology and has intrinsically better temperature coefficients, energy …

Solar energy is a promising source of renewable energy, but its low efficiency, instability,
and high manufacturing costs remain a big challenge. Recently, machine learning (ML) …

For decades, Cu has been the primary dopant in CdTe photovoltaic absorbers. Typically, Cu
acceptor concentrations in these devices are on the order of 1× 10 14 cm− 3, which has …

The reasons behind the long-term degradation of Cu-doped CdTe thin-film solar cells have
been a topic of discussion for almost two decades. Yet the underlying mechanisms of such …

Recent experiments suggest graphene-based materials as candidates for use in future
electronic and optoelectronic devices. In this study, we propose a new multilayer quantum …

In this work we use machine learning to extract actual Cu doping profiles that result from the
process of diffusion annealing and cool-down in the fabrication sequence of CdTe solar …

To optimize solar cell performance, it is necessary to properly design the doping profile in
the absorber layer of the solar cell. For CdTe solar cells, Cu is used for providing p-type …

In this paper we introduce the PVRD-FASP solver for studying carrier and defect transport in
CdTe solar cells on an equal footing by solving 1D and 2D drift-diffusion-reaction model …

For decades, copper has been used to improve the performance of cadmium telluride thin
film solar cells. However, it has also been shown to be the main cause of metastability in …

This work correlates microscopic material changes to short-and long-term performance in
modern, Cu-doped, CdTe-based solar cells. Past research on short-and long-term …