Supercomputer predicts better materials for solar and LEDs

Engineers at the University of California San Diego are using a supercomputer to design materials with prospects to improve solar cells and LEDs – finding 13 of the former and 23 of the latter The candidate materials, types of hybrid halide semiconductor, would be stable and exhibit excellent optoelectronic properties. They have an inorganic framework ...

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