Learning Metal Microstructural Heterogeneity through Spatial Map** of Diffraction Latent Space Features
M Calvat, C Bean, D Anjaria, H Park, H Wang… - arxiv preprint arxiv …, 2025 - arxiv.org
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 that …
prediction, it is crucial to develop a data-reduced representation of metal microstructures that …
BeyondFingerprinting: AI-guided discovery of robust materials & processes
BeyondFingerprinting was a 2021-2024 Sandia Grand Challenge LDRD exploring the
potential to develop new resilient materials and manufacturing processes by taking an …
potential to develop new resilient materials and manufacturing processes by taking an …