Neutron and x-ray scattering represent two classes of state-of-the-art materials
characterization techniques that measure materials structural and dynamical properties with …

X-ray diffraction (XRD) is a proven, powerful technique for determining the phase
composition, structure, and microstructural features of crystalline materials. The use of …

A feed-forward neural-network-based model is presented to index, in real time, the
diffraction spots recorded during synchrotron X-ray Laue microdiffraction experiments. Data …

Laue microdiffraction is an X-ray diffraction technique that allows for the non-destructive
acquisition of spatial maps of crystallographic orientation and the strain state of (poly) …

This work describes a proof of concept demonstrating that convolutional neural networks
(CNNs) can be used to invert x-ray diffraction (XRD) data, so as to, for instance, retrieve …

Superelastic alloys used for stents, biomedical implants, and solid-state cooling devices rely
on their reversible stress-induced martensitic transformations. These applications require …

Diffraction techniques can powerfully and nondestructively probe materials while
maintaining high resolution in both space and time. Unfortunately, these characterizations …

Heterostructured materials (HSMs) have shown great potential for breaking the strength-
ductility tradeoff. HSMs consist of heterogeneous zones that may have different sizes …

The massive amount of diffraction images collected in a raster scan of Laue microdiffraction
calls for a fast treatment with little if any human intervention. The conventional method that …

ABSTRACT The US Department of Energy's (DOE's) neutron research facilities at Oak Ridge
National Laboratory (ORNL), including the High Flux Isotope Reactor (HFIR) and the …