A number of companies are now racing to find new materials to replace toxic or otherwise unsafe elements in PV modules, in pursuit of circular economic ideals. In a similar vein, many researchers are also looking for ways to recycle and reuse some of these materials at the end of solar panel lifetimes. In line with these efforts, artificial intelligence and machine learning now play a critical role in identifying new chemical footprints for PV modules and cells.
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