Recently, a research team headed by Professor Zhao Yixin from the School of Environmental Science and Engineering at Shanghai Jiao Tong University saw its paper, titled "AI-Guided Design of High-Efficiency Perovskite Solar Cells for Stable Operation at 100˚C," published in the prestigious journal Science. This research zeroes in on the stability challenges faced by perovskite solar cells and introduces a cutting-edge multi-agent AI platform. Leveraging AI technology, the team meticulously engineered the device architecture and chemical makeup of crucial functional layers, paving the way for perovskite solar cells that are not only highly efficient but also remarkably stable. Through a combination of experimental and theoretical investigations, the study verified that formamidinium-cesium (FA-Cs) perovskite rivals CsPbI3 perovskite in stability, showcasing characteristics akin to those of inorganic materials.