Machine learning
Advancements in Perovskite Solar Cells Predicted Through Multimodal Machine Learning Approach
Researchers from the Harbin Institute of Technology have made significant strides in predicting the efficiency and stability of perovskite solar cells using a multimodal machine learning approach. This research, funded by the Shenzhen Science and Technology Innovation Commission, aimed to address the complexities in predicting photovoltaic conversion efficiency (PCE) by