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.
Ritchie, Andrew M
3 Pith papers cite this work. Polarity classification is still indexing.
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cond-mat.mtrl-sci 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Neutron diffraction detects intrinsic chemical short-range order in CoCrNi via a diffuse peak at 1.85 Å^{-1}, enhanced by aging, with simulations and SANS confirming nanoscale Ni-rich domains.
Anharmonic calculations show random CoCrNi ISFE decreases and stays negative with temperature while LCO ISFE stays positive from 0-1000 K, with MD confirming unbounded vs finite dislocation dissociation.
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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Direct Observation of Chemical Short-Range Order in CoCrNi Alloy Using Neutron Diffraction
Neutron diffraction detects intrinsic chemical short-range order in CoCrNi via a diffuse peak at 1.85 Å^{-1}, enhanced by aging, with simulations and SANS confirming nanoscale Ni-rich domains.
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Finite Temperature Stacking Fault Stability in Random and Locally Ordered CoCrNi beyond the Harmonic Approximation
Anharmonic calculations show random CoCrNi ISFE decreases and stays negative with temperature while LCO ISFE stays positive from 0-1000 K, with MD confirming unbounded vs finite dislocation dissociation.