AI is accelerating solar panel innovation by simulating thousands of material combinations and designs. Machine learning algorithms analyze performance data to identify optimal configurations for photovoltaic cells, leading to higher efficiency ratings. This computational approach has helped develop new solar cell structures, advanced coating materials, and improved light-capturing technologies, pushing the boundaries of solar energy conversion.

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