Synergistic Cr solid-solution strengthening and Y grain-boundary segregation in nanocrystalline Ni alloys suppresses dislocation emission, grain-boundary sliding, and grain rotation, yielding a record hardness of 11.0 GPa for single-phase Ni-based alloys.
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2 Pith papers cite this work, alongside 298 external citations. Polarity classification is still indexing.
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cond-mat.mtrl-sci 2years
2026 2representative citing papers
A bottleneck neural network trained on ~700 shallow nanoindentations from three steels estimates high-load reference hardness on a fourth steel with ~0.47 GPa RMSE, while the abstract's 0.28 GPa physics-constrained result is absent from the body.
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Synergistic doping of the grain interior and grain boundary alters deformation mechanisms and enables extreme strength in nanocrystalline Ni-Cr-Y alloys
Synergistic Cr solid-solution strengthening and Y grain-boundary segregation in nanocrystalline Ni alloys suppresses dislocation emission, grain-boundary sliding, and grain rotation, yielding a record hardness of 11.0 GPa for single-phase Ni-based alloys.
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Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Constrained Neural Network
A bottleneck neural network trained on ~700 shallow nanoindentations from three steels estimates high-load reference hardness on a fourth steel with ~0.47 GPa RMSE, while the abstract's 0.28 GPa physics-constrained result is absent from the body.