01/21/2025, 11:00 AM UTC
人工智能提升光伏技术性能AI Boosts Performance of Photovoltaic Technology
➀ 卡尔斯鲁厄理工学院（KIT）的研究人员展示了机器学习（ML）可以显著提高钙钛矿太阳能电池的制造过程监控，这是一种有前景的光伏技术。
➁ 使用深度学习技术，他们能够以高精度预测太阳能电池的材料属性和效率，超越实验室规模。
➂ 研究表明，ML可以在生产过程中帮助识别工艺错误，从而在不使用额外测试方法的情况下改进质量控制。
➀ Researchers at Karlsruhe Institute of Technology (KIT) have demonstrated that machine learning (ML) can significantly improve the manufacturing process monitoring of perovskite solar cells, a promising photovoltaic technology.
➁ Using deep learning techniques, they were able to predict material properties and efficiencies of solar cells with high precision beyond laboratory scale.
➂ The study shows that ML can help identify process errors during cell production, leading to improved quality control without additional testing methods.
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