Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the spin of electrons in spin-based optoelectronics or spintronics, but getting them to perform consistently has proven difficult.
Berkeley Lab Uses Advanced Machine Learning to Optimize Chiral Perovskites
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