A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization

A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization

Perovskite solar cells (PSCs) have attracted significant attention due to their high power conversion efficiency (PCE) and affordability. However, optimizing the preparation parameters for PSCs is crucial. This study establishes a machine learning model incorporating a crude estimation of property (...

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Bibliographic Details
Main Authors: Dan Li, Ernie Che Mid, Shafriza Nisha Basah, Xiaochun Liu, Jian Tang, Hongyan Cui, Huilong Su, Qianliang Xiao, Shiyin Gong
Format: Article
Language:English
Published: AIP Publishing LLC 2024-12-01
Series:APL Materials
Online Access:http://dx.doi.org/10.1063/5.0234046

Internet

http://dx.doi.org/10.1063/5.0234046

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