Single-task machine learning models trained on load-dependent experimental hardness data outperform multi-task models incorporating DFT calculations, showing that explicit load inclusion is key for accurate predictions.
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Load-dependent Hardness Prediction for Materials using Machine Learning
Single-task machine learning models trained on load-dependent experimental hardness data outperform multi-task models incorporating DFT calculations, showing that explicit load inclusion is key for accurate predictions.