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Works cited by this work

52 works

Work: A micromechanical nested machine learning model for characterizing materials behaviors of bulk metallic glasses

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  4. Characterization of nanoscale structural heterogeneity in metallic glasses: A machine learning study

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  6. Correlative study between elastic modulus and glass formation in ZrCuAl(X) amorphous system using a machine learning approach

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  8. Machine learning modeling for the prediction of plastic properties in metallic glasses

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