Machine learning-guided scalable manufacturing of high-efficiency perovskite solar modules

Key Points

• To address the challenges in scaling up perovskite solar module production while maintaining efficiency.
• Applied machine learning techniques to optimize manufacturing parameters.
• Evaluated performance based on area-dependent efficiency loss during production.
• Used industrial-scale simulations to assess scalability.
• Achieved reduced area-dependent efficiency loss in perovskite modules.
• Demonstrated improved consistency in module performance across larger scales.
• Highlighted potential for easier transition from lab to industrial manufacturing.