Gaussian process models predict transformation temperatures and lattice parameters in ZrO2 ceramics, leading to a tested composition with high hysteresis that challenges metal-derived design criteria.
Physics-informed machine learning for composition – process – property design: Shape memory alloy demonstration.Applied Materials Today, 22:100898, 2021
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Composition Design of Shape Memory Ceramics based on Gaussian Processes
Gaussian process models predict transformation temperatures and lattice parameters in ZrO2 ceramics, leading to a tested composition with high hysteresis that challenges metal-derived design criteria.