Machine learning precisely predicts material characteristics for high-performance photovoltaics

In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with silicon solar cells, they could play a role in the next generation of photovoltaic systems. Now researchers at KIT have demonstrated that machine learning is a crucial tool for improving the data analysis needed for commercial fabrication of perovskite solar cells. They present their results in Energy & Environmental Science.

发布者:Dr.Durant,转转请注明出处:https://robotalks.cn/machine-learning-precisely-predicts-material-characteristics-for-high-performance-photovoltaics/

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