A differentiable pipeline uses continuous atom occupancy and gradient descent plus a neural network to optimize short-range order in multi-element alloys directly for target stiffness properties.
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cond-mat.mtrl-sci 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
High-entropy engineering via B-site multicomponent substitution in BF-BT ceramics produces 10.55 J/cm³ recoverable energy density and 840 kV/cm breakdown strength through lattice distortion, relaxor behavior, and grain refinement.
Dominant-pair free energy model reduces multicomponent B2 ordering to a pseudo-binary Bragg-Williams system and achieves 77.9% accuracy on a three-class phase prediction task using 269 experimental samples, outperforming the valence electron concentration criterion.
citing papers explorer
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Differentiable inverse design of short-range order in high-entropy alloys: from target sro to target property
A differentiable pipeline uses continuous atom occupancy and gradient descent plus a neural network to optimize short-range order in multi-element alloys directly for target stiffness properties.
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Entropy engineering of BF-BT-based high-entropy ceramics for ultra-high energy storage performance
High-entropy engineering via B-site multicomponent substitution in BF-BT ceramics produces 10.55 J/cm³ recoverable energy density and 840 kV/cm breakdown strength through lattice distortion, relaxor behavior, and grain refinement.
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Dominant-pair free energies predict phase selection in high-entropy alloys
Dominant-pair free energy model reduces multicomponent B2 ordering to a pseudo-binary Bragg-Williams system and achieves 77.9% accuracy on a three-class phase prediction task using 269 experimental samples, outperforming the valence electron concentration criterion.