Revealing the physical origin of fatigue strength through nanoscale measurements of early plastic localization across a broad range of crystalline metallic materials.

Introducing Material Spatial Intelligence to learn directly from multimodal spatial materials data and identify the microstructural features governing mechanical behavior.

Identifying a deformation mechanism that dynamically delocalizes plasticity through competition between nanoscale twinning and slip, opening new strategies for alloy design.

Using learned latent representations of diffraction data to encode and spatially map microstructural heterogeneity in metallic materials.

A perspective on emerging experimental and numerical approaches for resolving crystallographic slip localization and its connection to mechanical properties.

Extending high-resolution digital image correlation toward statistically representative measurements through high-throughput multi-beam electron microscopy.