Optimizing hyperuniformity and local ordering without changing particle diameters produces no stability gain, showing that diameter dynamics drives ultrastability rather than the optimized quantities.
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A machine-learning interatomic potential trained on solids accurately reproduces experimental structural and dynamical properties of liquid Al-Ti alloys.
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Identifying the relevant parameters in design strategies for stable glasses
Optimizing hyperuniformity and local ordering without changing particle diameters produces no stability gain, showing that diameter dynamics drives ultrastability rather than the optimized quantities.
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Molecular Dynamics simulations of Al-Ti metallic alloy melts using a transferable machine-learning potential
A machine-learning interatomic potential trained on solids accurately reproduces experimental structural and dynamical properties of liquid Al-Ti alloys.