Advancing Perovskite Solar Cell Stability

Symbolic picture for the article. The link opens the image in a large view.

Yicheng has developed machine learning model aimed at improving the stability of metal-halide perovskite solar cells. By employing spectral learning techniques, the team has made strides in predicting perovskite stability without the reliance on lengthy aging processes. With promising results achieved across various samples, this approach shows potential for expediting the evaluation process.

ACS Energy Lett. 2024, 9, 2, 662–670