基于机器学习的钙钛矿太阳能电池性能预测与影响因素研究
Machine Learning-Based Prediction and Influencing Factors on the Performance of Perovskite Solar Cells
摘要: 太阳能高效利用是可持续发展核心，太阳能电池性能提升尤为关键。本文针对钙钛矿太阳能电池(PSC)的性能，利用统计学进行特征提取，运用机器学习构建结构–性能模型，快速筛选高效光伏材料，为PSC性能提升提供新途径。通过回归预测分析影响因素，促进PSC实用化，减少研发成本，推动PSC技术落地，助力绿色能源转型。
Abstract: Efficient utilization of solar energy is the core of sustainable development, and improving the performance of solar cells is particularly crucial. Regarding the performance of perovskite solar cells (PSCs), this article uses statistics for feature extraction and machine learning to construct a structure performance model for rapid screening of efficient photovoltaic materials, providing a new approach for improving PSC performance. The regression prediction analysis of influencing factors would promote the practicality of PSC, reduce research and development costs, promote the implementation of PSC technology, and assist in the transformation of green energy.
文章引用：彭丽玲, 钱佳静, 贾新航, 王越越, 范国锋. 基于机器学习的钙钛矿太阳能电池性能预测与影响因素研究[J]. 可持续能源, 2024, 14(4): 53-64. https://doi.org/10.12677/se.2024.144005

参考文献

[1] Khalifa, M., Dkhili, M., Aouida, S. and Ezzaouia, H. (2024) Optimizing Electron Transport Layers for High-Efficiency Perovskite Solar Cells Using Impedance Spectroscopy. Solar Energy Materials and Solar Cells, 278, Article ID: 113196. [Google Scholar] [CrossRef] 
[2] 吕潇航, 钟伟. 金属纳米线透明导电电极应用于钙钛矿太阳能电池的研究进展[J]. 微纳电子技术, 2023, 60(3): 337-346.
[3] Wen, Y., Liu, Y., Yan, B., Gaudin, T., Ma, J. and Ma, H. (2021) Simultaneous Optimization of Donor/Acceptor Pairs and Device Specifications for Nonfullerene Organic Solar Cells Using a QSPR Model with Morphological Descriptors. The Journal of Physical Chemistry Letters, 12, 4980-4986. [Google Scholar] [CrossRef] [PubMed]
[4] 孔瑞盈. 钙钛矿太阳电池高效光电耦合仿真与机器学习研究[J]. 激光与光电子学进展, 2024, 61(1): 1-10.
[5] Yan, W., Liu, Y., Zang, Y., Cheng, J., Wang, Y., Chu, L., et al. (2022) Machine Learning Enabled Development of Unexplored Perovskite Solar Cells with High Efficiency. Nano Energy, 99, Article ID: 107394. [Google Scholar] [CrossRef] 
[6] Zhi, C., Wang, S., Sun, S., Li, C., Li, Z., Wan, Z., et al. (2023) Machine-learning-assisted Screening of Interface Passivation Materials for Perovskite Solar Cells. ACS Energy Letters, 8, 1424-1433. [Google Scholar] [CrossRef] 
[7] Hu, J., Chen, Z., Chen, Y., Liu, H., Li, W., Wang, Y., et al. (2024) Interpretable Machine Learning Predictions for Efficient Perovskite Solar Cell Development. Solar Energy Materials and Solar Cells, 271, Article ID: 112826. [Google Scholar] [CrossRef] 
[8] Zhang, J., Liu, B., Liu, Z., Wu, J., Arnold, S., Shi, H., et al. (2023) Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells. Advanced Energy Materials, 13, Article ID: 2302594. [Google Scholar] [CrossRef] 
[9] 高进伟, 樊贞. 华南师范大学在机器学习高效钙钛矿太阳能电池领域取得重要进展[J]. 材料化学杂志A, 2021(12): 732.
[10] Guo, Y., Li, X., Chen, B., Tang, Y., Wang, J., Lu, H., et al. (2024) Fabrication of Gradient Band Tin Oxide Electron Transport Layer Using Self-Separated Dual-Quantum Dots for Perovskite Solar Cells. Materials Today Energy, 46, Article ID: 101708. [Google Scholar] [CrossRef] 
[11] Lei, J., Lu, F., Wei, Y., Ai, X. and Ling, W. (2024) Study on the Enhancement of Device Performance by the Action of Carbonohydrazide at the Buried Bottom Interface of Inverted Mesoporous Perovskite Solar Cells. Materials Science and Engineering: B, 310, Article ID: 117751. [Google Scholar] [CrossRef] 
[12] 张莹, 张超宇, 彭玉芳, 等. 铀矿区地下水中氡迁移的室内模拟[J]. 中国矿业, 2014, 23(6): 145-149.
[13] Kang, D. and Park, N. (2019) On the Current-Voltage Hysteresis in Perovskite Solar Cells: Dependence on Perovskite Composition and Methods to Remove Hysteresis. Advanced Materials, 31, Article ID: 1805214. [Google Scholar] [CrossRef] [PubMed]
[14] Harito, C., Abrori, S.A., Khalil, M., Yuliarto, B. and Erten-Ela, S. (2024) Current Progress of Perovskite Solar Cells Stability with Bibliometric Study. Current Opinion in Colloid & Interface Science, 74, Article ID: 101862. [Google Scholar] [CrossRef] 
[15] 何睿夫, 周非凡, 屈军乐, 等. 金属有机框架材料在有机钙钛矿太阳能电池中的应用进展[J]. 发光学报, 2021, 42(11): 1722-1738.

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