fig12

Machine learning-enabled optoelectronic material discovery: a comprehensive review

Figure 12. (A) An illustration of the ML process includes data collection, feature engineering, model selection and training, and model prediction; (B) The established database is based on geometric descriptors and ML model and a 2D HOIPs exploration platform integrating searching, download, analysis, and online prediction, which provide a useful tool for the further research of 2D HOIPs and other fields in materials, energy, and engineering, especially PV field. Copyright 2023, American Chemical Society, Reproduced with permission[150]. ML: Machine learning; 2D: two-dimensional; HOIPs: hybrid organic-inorganic perovskites; PV: photovoltaic.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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