Plasticity Encoding for Accelerated Mechanical Properties Prediction
New publication details a novel ML-based method for accelerated mechanical properties prediction from encoding and mapping metal plasticity. Encoding metal plasticity captured from high-resolution digital image correlation (DIC) can be leveraged to predict a wide range of monotonic and cyclic macroscopic properties of metallic materials. To capture the spatial heterogeneity of plasticity that develops in …
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