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Found 3 papers, 1 papers with code
Substitutional Alloying Using Crystal Graph Neural Networks
Materials discovery, especially for applications that require extreme operating conditions, requires extensive testing that naturally limits the ability to inquire the wealth of possible compositions.
Direct detection of plasticity onset through total-strain profile evolution
Plastic yielding in solids strongly depends on various conditions, such as temperature and loading rate and indeed, sample-dependent knowledge of yield points in structural materials promotes reliability in mechanical behavior.
Learning crystal plasticity using digital image correlation: Examples from discrete dislocation dynamics
Digital image correlation (DIC) is a well-established, non-invasive technique for tracking and quantifying the deformation of mechanical samples under strain.
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