The quest for novel materials used in technologies demanding extreme performance has
been accelerated by advances in computational materials screening, additive manufacturing …

Abstract The Ti–Al system, specifically with Al wt pct ranging from approximately 4 to 14 pct,
has served as a model system for exploring the deformation behavior of the hexagonal close …

Experimental solid mechanics is at a pivotal point where machine learning (ML) approaches
are rapidly proliferating into the discovery process due to significant advances in data …

The microstructure is a critical factor governing the functionality of ceramic materials.
Meanwhile, microstructural analysis of electron microscopy images of polycrystalline …

Synthetic microstructure generation algorithms have emerged as a key tool for enabling
large ICME and Materials Informatics efforts. In particular, statistically conditioned generative …

Gathering 3D material microstructural information is time-consuming, expensive, and energy-
intensive. Acquisition of 3D data has been accelerated by developments in serial sectioning …

Because microstructure plays an important role in the mechanical properties of structural
materials, developing the capability to quantify microstructures rapidly is important to …

Electron backscatter diffraction (EBSD) images of extruded pure aluminum were statistically
analyzed to investigate creep-induced subgrain structures after applying two different levels …

Electron backscatter diffraction (EBSD) is a scanning electron microscopy technique used
for collecting orientation properties of a material sample over space at the micrometer scale …