Optimizing charge transport and bandgap alignment of ETL and HTL in Tin-based perovskite solar cells via machine learning

Optimizing charge transport and bandgap alignment of ETL and HTL in Tin-based perovskite solar cells via machine learning

Perovskite solar cells (PSCs) are highly promising alternatives to silicon solar cells. They offer exceptional costeffectiveness and achieve high power conversion efficiency (PCE) for lead-based PSCs. However, the toxicity is a major concern for lead-based PSCs. As a result, tin-based PSCs are explo...

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Bibliographic Details
Main Authors: Muppana, Veera Nagendra, Samykano, Mahendran, Pandey, Adarsh Kumar, Keng, Ngui Wai, Rajamony, Reji Kumar, Suraparaju, Subbarama Kousik
Format: Article
Language:English
Published: Elsevier 2025
Subjects:
QC Physics
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/44856/
http://umpir.ump.edu.my/id/eprint/44856/1/Optimizing%20charge%20transport%20and%20bandgap%20alignment%20of%20ETL%20and%20HTL.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44856/
http://umpir.ump.edu.my/id/eprint/44856/1/Optimizing%20charge%20transport%20and%20bandgap%20alignment%20of%20ETL%20and%20HTL.pdf

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