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cond-mat.mtrl-sci2025
Plasticity Encoding and Mapping during Elementary Loading for Accelerated Mechanical Properties Prediction
Mathieu Calvat, Chris Bean, Dhruv Anjaria +3
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 m…
cond-mat.mtrl-sci2025
Accelerated Fatigue Strength Prediction via Additive Manufactured Functionally Graded Materials and High-Throughput Plasticity Quantification
C. Bean, M. Calvat, Y. Nie +5
Recent improvements in additive manufacturing and high-throughput material synthesis have enabled the discovery of novel metallic materials for extreme environments. However, high-…
cond-mat.mtrl-sci2025
Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features
Mathieu Calvat, Chris Bean, Dhruv Anjaria +4
To leverage advancements in machine learning for metallic materials design and property prediction, it is crucial to develop a data-reduced representation of metal microstructures…