Machine Learning-Assisted Optimization of Additive Engineering in FAPbI3-Based Perovskite Solar Cells: Achieving High Efficiency and Long-Term Stability
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引用次数: 0
Abstract
Additive engineering in perovskite solar cells (PSCs) has been proven to enhance device performance, yet comparing the effects of different additives through experimental methods is still a challenge. Herein, machine learning (ML) is used to quantitatively analyze the impact of additive engineering on performance of PSCs, utilizing a dataset with 778 samples and 39 input features. Key features affecting device performance are identified, revealing that alkali metal additives boost short-circuit current, alkylamine additives improve open-circuit voltage, and passivation at A-site defects is more beneficial than at interstitial sites. Using the results gained from the ML approach, the performance of PSCs improves significantly, achieving an efficiency of 23.50%, with VOC and JSC values of 1.16 V and 25.35 mA cm−2, respectively, markedly higher than those of the control samples.
钙钛矿太阳能电池（PSCs）中的添加剂工程已被证明可以提高器件性能，但通过实验方法比较不同添加剂的效果仍然是一个挑战。本文利用具有778个样本和39个输入特征的数据集，使用机器学习（ML）定量分析增材工程对psc性能的影响。确定了影响器件性能的关键特征，揭示了碱金属添加剂增加短路电流，烷基胺添加剂提高开路电压，并且在a位缺陷处钝化比在间隙位置更有利。利用ML方法获得的结果，PSCs的性能显著提高，效率达到23.50%，VOC和JSC值分别为1.16 V和25.35 mA cm−2，显著高于对照样品。
期刊介绍：
Energy Technology provides a forum for researchers and engineers from all relevant disciplines concerned with the generation, conversion, storage, and distribution of energy.
This new journal shall publish articles covering all technical aspects of energy process engineering from different perspectives, e.g.,
new concepts of energy generation and conversion;
design, operation, control, and optimization of processes for energy generation (e.g., carbon capture) and conversion of energy carriers;
improvement of existing processes;
combination of single components to systems for energy generation;
design of systems for energy storage;
production processes of fuels, e.g., hydrogen, electricity, petroleum, biobased fuels;
concepts and design of devices for energy distribution.
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