National Center for High-Performance Computing

Synchrotron X-ray-informed machine learning for local hardness mapping in a Cu–Ni–Ti–Hf–Zr high-entropy shape-memory alloy

A supervised machine-learning framework was used to relate colocated synchrotron X-ray fluorescence (XRF), X-ray nanodiffraction (XND), thermodynamic descriptors, and nanoindentation measurements to local hardness in an as-cast Cu 15 Ni 35 Ti 25 Hf 12. 5Zr 12.5 high-entropy shape...