Multi-modal dataset of a polycrystalline metallic material: 3D microstructure and deformation fields

The development of high-fidelity mechanical property prediction models for
the design of polycrystalline materials relies on large volumes of
microstructural feature data. Concurrently, at these same scales, the
deformation fields that develop during mechanical loading can be highly
heterogeneous. Spatially correlated measurements of 3D microstructure and
the ensuing deformation fields at the micro-scale would provide highly
valuable insight into the relationship between microstructure and
macroscopic mechanical response. They would also provide direct validation
for numerical simulations that can guide and speed up the design of new
materials and microstructures. However, to date, such data have been rare.
Here, a one-of-a-kind, multi-modal dataset is presented that combines
recent state-of-the-art experimental developments in 3D tomography and
high-resolution deformation field measurements.