Artificial intelligence model for efficient simulation of monatomic phase change material antimony
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
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1. Machine learning interatomic potential: Bridge the gap between small-scale models and realistic device-scale simulations;iScience;2024-05
2. Unraveling the crystallization kinetics of the Ge2Sb2Te5 phase change compound with a machine-learned interatomic potential;npj Computational Materials;2024-02-10
3. Review on the thermal property enhancement of inorganic salt hydrate phase change materials;Journal of Energy Storage;2023-11
4. Device-scale atomistic modelling of phase-change memory materials;Nature Electronics;2023-09-25
5. Non-volatile tunable optics by design: From chalcogenide phase-change materials to device structures;Materials Today;2023-09
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