4.5 Article

BraggNN: fast X-ray Bragg peak analysis using deep learning

Related references

Note: Only part of the references are listed.
Article Instruments & Instrumentation

Repeatability and sensitivity characterization of the far-field high-energy diffraction microscopy instrument at the Advanced Photon Source

Jun Sang Park et al.

Summary: This work summarizes the FF-HEDM instrument implemented at the Advanced Photon Source (APS) and describes a set of measurements conducted to characterize the instrument's repeatability and sensitivity to changes in grain orientation and position. The instrument shows a repeatability of approximately 5 mu m in translation, 0.02 degrees in rotation, and 2x10(-4) in strain when an appropriate grain matching method is used, with a sensitivity of approximately 5 mu m in translation and 0.05 degrees in rotation.

JOURNAL OF SYNCHROTRON RADIATION (2021)

Review Materials Science, Multidisciplinary

High-Energy X-Ray Diffraction Microscopy in Materials Science

Joel V. Bernier et al.

ANNUAL REVIEW OF MATERIALS RESEARCH, VOL 50, 2020 (2020)

Article Computer Science, Theory & Methods

A survey on Image Data Augmentation for Deep Learning

Connor Shorten et al.

JOURNAL OF BIG DATA (2019)

Article Materials Science, Multidisciplinary

Investigation of fatigue crack initiation from a non-metallic inclusion via high energy x-ray diffraction microscopy

Diwakar Naragani et al.

ACTA MATERIALIA (2017)

Article Chemistry, Multidisciplinary

Fiducial marker application method for position alignment of in situ multimodal X-ray experiments and reconstructions

Paul A. Shade et al.

JOURNAL OF APPLIED CRYSTALLOGRAPHY (2016)

Article Engineering, Manufacturing

Combined near- and far-field high-energy diffraction microscopy dataset for Ti-7Al tensile specimen elastically loaded in situ

Todd J. Turner et al.

INTEGRATING MATERIALS AND MANUFACTURING INNOVATION (2016)