Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy
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DOI: 10.1021/acsenergylett.2c02555
Abstract: The composition-dependent degradation of hybrid organic–inorganic perovskites (HOIPs) due to environmental stressors still precludes their commercialization. It is very difficult to quantify their behavior upon exposure to each stressor by exclusively using trial-and-error methods due… read more here.
Keywords: behavior; accuracy; machine learning; enables prediction ... See more keywords