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Meeting 2021 TMS Annual Meeting & Exhibition
Symposium Characterization of Materials through High Resolution Imaging
Presentation Title In Situ and Operando 3D Nano-imaging for Materials Science at the ESRF
Author(s) Julie Villanova, Richi Kumar, Victor Vanpeene, Jaime Segura-Ruiz, Remi Tucoulou, Pierre Lhuissier, Luc Salvo
On-Site Speaker (Planned) Julie Villanova
Abstract Scope X-ray computed tomography is now well recognized as a powerful technique to investigate material properties from the micro to the nano-scale. The use of phase contrast imaging provides non-destructive access to 3D morphology, by highlighting small features of differing refractive index within structures that are otherwise uniform or within weak absorbing materials. Thanks to the high flux of synchrotron X-ray nano-beams and the constant improvement of the detectors, fast acquisition rates are now reachable at the nano-scale, leading to dynamic monitoring of phenomena through in situ and operando measurements. This work presents the in situ hard X-ray nanotomography setup that has been developed at the ID16B beamline of the ESRF. It details different examples of studies on metallurgy and energy materials, and the technical developments associated. Finally, the benefits and limitations brought to the technique by the new extremely brilliant X-ray source EBS of the ESRF are discussed.
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

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