Needs, trends, and advances in scintillators for radiographic imaging and tomography
Z Wang, C Dujardin, MS Freeman… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
Radiographic imaging and tomography (RadIT), which started with Röntgen's seminal X-ray
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
High-energy X-ray diffraction microscopy in materials science
High-energy diffraction microscopy (HEDM) is an implementation of three-dimensional X-ray
diffraction microscopy. HEDM yields maps of internal crystal orientation fields, strain states …
diffraction microscopy. HEDM yields maps of internal crystal orientation fields, strain states …
Linking scientific instruments and computation: Patterns, technologies, and experiences
Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s.
Online analysis methods are needed to enable the collection of only interesting subsets of …
Online analysis methods are needed to enable the collection of only interesting subsets of …
Globus automation services: Research process automation across the space–time continuum
Research process automation–the reliable, efficient, and reproducible execution of linked
sets of actions on scientific instruments, computers, data stores, and other resources–has …
sets of actions on scientific instruments, computers, data stores, and other resources–has …
The ESRF dark-field x-ray microscope at ID06
We present an instrument for dark-field x-ray microscopy installed on beamline ID06 of the
ESRF—the first of its kind. Dark-field x-ray microscopy uses full field illumination of the …
ESRF—the first of its kind. Dark-field x-ray microscopy uses full field illumination of the …
Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging
A Scheinker, R Pokharel - Journal of Applied Physics, 2020 - pubs.aip.org
We present a novel adaptive machine-learning based approach for reconstructing three-
dimensional (3D) crystals from coherent diffraction imaging. We represent the crystals using …
dimensional (3D) crystals from coherent diffraction imaging. We represent the crystals using …
Convolutional neural network-based method for real-time orientation indexing of measured electron backscatter diffraction patterns
Electron backscatter diffraction (EBSD) is the most commonly used technique for obtaining
spatially resolved microstructural information from polycrystalline materials. We have …
spatially resolved microstructural information from polycrystalline materials. We have …
Exploring new links between crystal plasticity models and high-energy X-ray diffraction microscopy
The advancement and transition of computational materials models requires corresponding
developments in experimental methods to provide new phenomenological insights as well …
developments in experimental methods to provide new phenomenological insights as well …
Voxel-based strain tensors from near-field high energy diffraction microscopy
High energy X-ray diffraction microscopy is one of several techniques that use spatially
resolved diffraction to nondestructively map crystal unit cell orientations in three dimensions …
resolved diffraction to nondestructively map crystal unit cell orientations in three dimensions …
The AFRL additive manufacturing modeling challenge: predicting micromechanical fields in AM IN625 using an FFT-based method with direct input from a 3D …
The efficacy of an elasto-viscoplastic fast Fourier transform (EVPFFT) code was assessed
based on blind predictions of micromechanical fields in a sample of Inconel 625 produced …
based on blind predictions of micromechanical fields in a sample of Inconel 625 produced …