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From: Machine learning accelerated discovery of high transmittance in (K0.5Na0.5)NbO3-based ceramics
Figure 1. Schematic workflow of the ML process, including data collection and preprocessing, model training, model prediction, and experimental validation. ETR: extreme Tree Regression; GBR: gradient boosting regression; KNN: potassium-sodium niobate; ML: machine learning; RF: random forest; ST: sintering temperature; SVR: support vector machine; T%: transmittance.
