Dataset of DRP for Perovskite Solar Cells

出版物“基于机器学习的钙钛矿太阳能电池主导重组过程的识别”中使用的数据。.csv文件“ balanced_dataset.csv”中保存的数据集由10多个模拟的钙钛矿太阳能电池及其性能（V，J和FF）在（0.1,0.18,032,0.56,1）太阳光照下以及理想因子（n）处。

The data utilized in the publication titled "Machine Learning-based Identification of Dominant Recombination Processes in Perovskite Solar Cells". The dataset stored in the .csv file "balanced_dataset.csv" comprises more than 10 simulated perovskite solar cells, alongside their performance metrics including open-circuit voltage (V), short-circuit current density (J), and fill factor (FF) measured under solar irradiance of (0.1, 0.18, 0.32, 0.56, 1) suns, as well as their ideality factor (n).

搜集汇总

背景与挑战

背景概述

该数据集用于机器学习识别钙钛矿太阳能电池的主导重组过程，包含超过10个模拟电池在多种光照条件下的性能参数（电压、电流密度、填充因子）和理想因子。数据以CSV格式存储，基于开源代码SIMsalabim构建。