Machine learning driven performance enhancement of perovskite solar cells with CNT as both hole transport layer and back contact-Reference-Cited by-同舟云学术

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Machine learning driven performance enhancement of perovskite solar cells with CNT as both hole transport layer and back contact

Published:2024-08 Issue: Volume:278 Page:112737
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Malek Ihtesham Ibn^ORCID,Imtiaz Hafiz^ORCID,Subrina Samia^ORCID

Publisher

Elsevier BV

Reference85 articles.

1. Organometal halide perovskites as visible-light sensitizers for photovoltaic cells;Kojima;J. Am. Chem. Soc.,2009

2. Solvent engineering for high-performance inorganic–organic hybrid perovskite solar cells;Jeon;Nat. Mater.,2014

3. Carbon nanotube/polymer composites as a highly stable hole collection layer in perovskite solar cells;Habisreutinger;Nano Lett.,2014

4. Boron doping of multiwalled carbon nanotubes significantly enhances hole extraction in carbon-based perovskite solar cells;Zheng;Nano Lett.,2017

5. Improving the performance of perovskite solar cells with carbon nanotubes as a hole transport layer;Mohammed;Opt. Mater.,2023

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