GRX-810 ODS alloy shows 2.79 times higher dynamic strength at high strain rates and ambient temperature due to yttria nanoparticles but undergoes thermal softening at elevated temperatures from dislocation confinement and reduced elastic constants.
Rational design and glass-forming ability prediction of bulk metallic glasses via interpretable machine learning,
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ML model using ideal entropy plus simulation features (energy above hull, heat capacity change, icosahedral fraction) predicts metallic glass critical cooling rates with R²=0.78 in leave-one-chemical-system-out cross-validation on 34 alloys.
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Ultra-High Dynamic Strength of Additively Manufactured GRX-810 Under Coupled Conditions of High Strain Rate and Elevated Temperature
GRX-810 ODS alloy shows 2.79 times higher dynamic strength at high strain rates and ambient temperature due to yttria nanoparticles but undergoes thermal softening at elevated temperatures from dislocation confinement and reduced elastic constants.
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Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization
ML model using ideal entropy plus simulation features (energy above hull, heat capacity change, icosahedral fraction) predicts metallic glass critical cooling rates with R²=0.78 in leave-one-chemical-system-out cross-validation on 34 alloys.