[HTML][HTML] DeconvolutionLab2: An open-source software for deconvolution microscopy

D Sage, L Donati, F Soulez, D Fortun, G Schmit, A Seitz… - Methods, 2017 - Elsevier
Images in fluorescence microscopy are inherently blurred due to the limit of diffraction of
light. The purpose of deconvolution microscopy is to compensate numerically for this …

Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review

A Sohani, H Sayyaadi, C Cornaro… - Journal of Cleaner …, 2022 - Elsevier
Photovoltaic (PV) technologies are expected to play an increasingly important role in future
energy production. In parallel, machine learning has gained prominence because of a …

Organic photodetectors and their application in large area and flexible image sensors: the role of dark current

G Simone, MJ Dyson, SCJ Meskers… - Advanced Functional …, 2020 - Wiley Online Library
Organic photodetectors (OPDs) have gained increasing interest as they offer cost‐effective
fabrication methods using low temperature processes, making them particularly attractive for …

Effect of tailoring π-linkers with extended conjugation on the SJ-IC molecule for achieving high V OC and improved charge mobility towards enhanced photovoltaic …

H Zubair, RF Mahmood, M Waqas, M Ishtiaq, J Iqbal… - RSC …, 2023 - pubs.rsc.org
The problem of low efficiency of organic solar cells can be solved by improving the charge
mobility and open circuit voltage of these cells. The current research aims to present the role …

[BUCH][B] Lock-in thermography: Basics and use for evaluating electronic devices and materials

O Breitenstein, W Warta, MC Schubert - 2019 - books.google.com
In the last 7 years, the? rst edition of “Lock-in Thermography” has established as a reference
book for all users of this technique for investigating electronic devices, especially solar cells …

Lock-in thermography

O Breitenstein, M Langenkamp - … and Use for Functional Diagnostics of …, 2003 - Springer
With the greater availability and effectively falling prices of thermocameras, in the last years
thermography has developed from a rarely used technique towards an increasingly popular …

Visualizing macroscopic inhomogeneities in perovskite solar cells

A Dasgupta, S Mahesh, P Caprioglio, YH Lin… - ACS Energy …, 2022 - ACS Publications
Despite the incredible progress made, the highest efficiency perovskite solar cells are still
restricted to small areas (< 1 cm2). In large part, this stems from a poor understanding of the …

Influence of Al2O3/IZO double-layer antireflective coating on the front side of rear emitter silicon heterojunction solar cell

MA Zahid, MQ Khokhar, S Park, SQ Hussain, Y Kim… - Vacuum, 2022 - Elsevier
Transparent conductive oxide (TCO) thin films play a significant role in silicon heterojunction
(SHJ) solar cell and perform both as antireflection coating (ARC) and carrier transport layer …

Machine learning-based condition monitoring for PV systems: State of the art and future prospects

T Berghout, M Benbouzid, T Bentrcia, X Ma, S Djurović… - Energies, 2021 - mdpi.com
To ensure the continuity of electric power generation for photovoltaic systems, condition
monitoring frameworks are subject to major enhancements. The continuous uniform delivery …

Graphene oxide modified PEDOT: PSS as an efficient hole transport layer for enhanced performance of hybrid silicon solar cells

RK Sharma, A Srivastava, P Kumari, D Sharma… - Surfaces and …, 2023 - Elsevier
In recent years, PEDOT: PSS/n-Silicon (n-Si) based hybrid solar cells (HSCs) have drawn a
significant attention as promising alternative to the conventional Si solar cell technology …