Ubiquitous short-range order in multi-principal element alloys
Recent research in multi-principal element alloys (MPEAs) has increasingly focused on the
role of short-range order (SRO) on material performance. However, the mechanisms of SRO …
role of short-range order (SRO) on material performance. However, the mechanisms of SRO …
Chemical-motif characterization of short-range order with E (3)-equivariant graph neural networks
Crystalline materials have atomic-scale fluctuations in their chemical composition that
modulate various mesoscale properties. Establishing chemistry–microstructure relationships …
modulate various mesoscale properties. Establishing chemistry–microstructure relationships …
3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures
Quantitative analysis of microstructural features on the nanoscale, including precipitates,
local chemical orderings (LCOs) or structural defects (eg stacking faults) plays a pivotal role …
local chemical orderings (LCOs) or structural defects (eg stacking faults) plays a pivotal role …
[PDF][PDF] 4.4: Machine Learning for Analyzing Atom Probe Tomography Data
Atom probe tomography (APT) is a burgeoning characterization technique that provides
compositional mapping of materials in three-dimensions at the near-atomic scale [1]. The …
compositional mapping of materials in three-dimensions at the near-atomic scale [1]. The …