Performance prediction and analysis of perovskite solar cells using machine learning-Reference-Cited by-同舟云学术

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Performance prediction and analysis of perovskite solar cells using machine learning

Published:2024-09 Issue: Volume:3 Page:100022
ISSN:2950-2845
Container-title:Journal of Alloys and Compounds Communications
language:en
Short-container-title:Journal of Alloys and Compounds Communications

Author:

Sadhu Debmalya,Dattatreya Devansh,Deo Arjun,Tarafder Kartick,De Debasis^ORCID

Publisher

Elsevier BV

Reference55 articles.

1. Interfacial passivation treatment towards high-efficiency and operational stable perovskite solar cells;Yang,2022

2. Perovskite solar cells: an emerging photovoltaic technology;Park;Mater. Today,2015

3. Perovskite solar cells approaching 25% PCE using side chain terminated hole transport materials with low concentration in a non-halogenated solvent process;Xie;J. Mater. Chem. A,2023

4. Progress of perovskite solar modules;Kim;Adv. Energy Sustain. Res.,2021

5. Current progress and scientific challenges in the advancement of organic–inorganic lead halide perovskite solar cells;Bhatt;N. J. Chem.,2017

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