Machine Learning-Driven Optimization of Transport Layers in MAPbI₃ Perovskite Solar Cells for Enhanced Performance

Machine Learning-Driven Optimization of Transport Layers in MAPbI₃ Perovskite Solar Cells for Enhanced Performance

This study aims to analyse the performance of MAPbI3-based perovskite solar cells (PSCs) by integrating machine learning (ML) models with the SCAPS-1D simulator. An extensive dataset of 28,182 PSCs, combinations of six-electron transport layers, ten-hole transport layers, and MAPbI3 absorber layer b...

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Bibliographic Details
Main Authors: Velpuri Leela Devi, Piyush Kuchhal, Debasis de, Abhinav Sharma, Neeraj Kumar Shukla, Mona Aggarwal
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
MAPbI₃ absorber layer
ETL
HTL
machine learning
SCAPS-1D simulator
Online Access:https://ieeexplore.ieee.org/document/10745500/
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