ProgramMaster Logo
Conference Tools for 2021 TMS Annual Meeting & Exhibition
Register as a New User
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Characterization of Materials through High Resolution Imaging
Presentation Title Retrieving the Full 3D Strain Tensor for Nanoscale Materials Science Applications at 34-ID-C
Author(s) Anastasios Pateras, Ross Harder, Wonsuk Cha, Jonathan Gigax, Jon Kevin Baldwin, Jon Tischler, Ruxing Xu, Wenjun Liu, Mark Erdmann, Robert Kalt, Richard Sandberg, Saryu Fensin, Reeju Pokharel
On-Site Speaker (Planned) Anastasios Pateras
Abstract Scope Crystalline materials properties depend on their nanoscale structure. In micron to nanometer scale dimensions, knowing the crystallographic orientation and full strain tensor can predict the mechanical properties of particles and crystal grains of polycrystalline metals. Bragg coherent x-ray diffraction imaging allows the visualization of the local atomic lattice displacement of single nanoparticles or grains in 3D. However, measurement modalities in Bragg coherent diffraction imaging broadly rely on a single crystalline grain satisfying the Bragg condition within a potentially large population of sub-micrometer scale crystals with unknown crystallographic orientations. We report the commissioning of a movable monochromator at the 34-ID-C end station of the Advanced Photon Source, which delivers multi-reflection BCDI and full strain tensor 3D imaging as a standard tool in a single beamline instrument. We discuss the design and concept of operation of the instrument, and show examples of materials science applications that would benefit from the new capabilities.
Proceedings Inclusion? Planned:


Adaptive Machine for 3D Bragg Coherent Diffraction Imaging Reconstructions
AI-enabled High-throughput Three-dimensional Ptychographic Imaging
Confocal Bragg Ptychography for 3D Mapping of Bulk Specimens
Evaluation of TATB Crystal Morphology for Predicting Sensitivity Using X-ray Computed Tomography
Exploiting Machine Learning Techniques in X-ray Ptychography
Grain Orientation Mapping via Laue Peak Segregation
High Speed, High Resolution, High Temperature 3D Imaging of Spacecraft Materials during Atmospheric Entry Conditions
ID01 in Light of the ESRF-EBS
Image-based Simulation of Permeability and Image-to-Mesh Conversion of X-ray Tomographic Images of a Nickel Foam
Imaging Materials on the Run: Shedding Light on Fast Structural Processes Using Time-resolved Synchrotron X-ray Tomographic Microscopy
Imaging Phase Transitions of Quantum Materials with Bragg Coherent X-ray Diffraction
Improve Phase Retrieval Performance in Bragg CDI by Simultaneous Reconstruction of Multiple Diffraction Peaks
In Situ and Operando 3D Nano-imaging for Materials Science at the ESRF
Investigating the Early Life on Earth with Nanoscale X-ray Coherent Imaging
Laboratory and Synchrotron-based X-ray Tomographic Imaging during In Situ Loading of Materials
Magnetic Correlations and Time Fluctuations in Assemblies of Fe3O4 Nanoparticles Probed via X-rays
Megahertz X-ray Microscopy for Imaging High-speed Phenomena in Opaque Materials
Mesoscale Defect Dynamics in the Bulk with Time-resolved Dark-field X-ray Microscopy
Microstructural Characterization and Mechanical Behavior of a Meteorite Using Correlative Microscopy
Multi-peak Phase Retrieval for Coherent X-ray Diffraction Imaging at High Energies
Near-surface Optical Characterisation of Ion Implantation in Titanium Oxide Thin Films
Optimization Based Approach for 3D Alignment in X-ray Nano-tomography
Ptychographic Inversion with Deep Learning Network and Automatic Differentiation
Ptychographic X-ray Computed Tomography
Quantitative Data Analysis of Dynamic Tomography Data with Motion Artifacts
Retrieving the Full 3D Strain Tensor for Nanoscale Materials Science Applications at 34-ID-C
Study of Structure of Beam-sensitive Supported Nanoparticle Catalysts by Low-dose High Resolution Phase Contrast Imaging
The Fourth is Strong in These Ones!
Using Phase Field Simulations to Train Convolutional Neural Networks for Segmentation of Experimental Materials Imaging Datasets
Using the Rotation Vector Base Line Electron Back Scatter Diffraction (RVB-EBSD) Method to Characterize Single Crystal Cast Microstructures
X-ray Based Nanodiffraction to Study Strain in Materials for Nuclear Energy
X-ray Imaging of Three-dimensional Magnetic Systems and Their Dynamics

Questions about ProgramMaster? Contact