Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
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DOI: 10.1002/aelm.202500210
Abstract: Data quality, feature interpretability, and model generalization are critical and challenging for applying machine learning (ML) in the design of high‐efficiency materials. In this work, an ML framework with integrating multi‐step feature engineering is constructed… read more here.
Keywords: rationally design; thermoelectric materials; machine learning; design thermoelectric ... See more keywords