Maximizing performance in Cs₂CuBiCl₆ perovskite cells through machine learning-driven absorber layer parameter analysis

Nikhil Shrivastav,Jaya Madan,Rahul Pandey

Materials Letters（2024）

引用 0|浏览1

暂无评分

摘要

•Cs₂CuBiCl₆ based perovskite solar cell explored.•Optimization of thickness, density and doping performed.•Machine learning models (XGBoost, RF) implemented for PCE prediction.•XGB outperforms RF (R-squared: 99.97 %, low MSE: 0.0014).

查看译文

关键词

Absorption,Perovskite,Power conversion efficiency,Simulations,Machine learning and random forest

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要