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About this Symposium
Meeting 2019 TMS Annual Meeting & Exhibition
Symposium Characterization of Materials through High Resolution Imaging
Sponsorship TMS: Advanced Characterization, Testing, and Simulation Committee
Organizer(s) Ross J. Harder, Argonne National Laboratory
Richard L. Sandberg, Brigham Young University
Xianghui Xiao, Argonne National Laboratory
Brian Abbey, La Trobe University
Saryu Jindal Fensin, Los Alamos National Laboratory
Ana Diaz, Paul Scherrer Institute
Mathew Cherukara, Argonne National Laboratory
Scope Objective: This symposium will provide a venue for presentations regarding the use of coherent diffraction imaging techniques (x-ray and electron diffraction imaging, ptychography, holography) and phase contrast imaging techniques for high-resolution characterization in all classes of materials. Additionally, modeling and simulation methods that are relevant to nanoscale imaging techniques will be included.

Background and Rationale:
A high degree of spatial coherence is an attractive property in x-ray and electron beams. Those from modern synchrotrons and electron microscopes have enabled the development of novel imaging methods. In some cases, these imaging methods provide resolution beyond that achieved with optics and can also provide remarkable sensitivity to a variety of contrast mechanisms.
The two methods that will be the focus of this symposium are coherent diffractive imaging (CDI) and phase contrast imaging (PCI) with both x-rays and electrons. Both explicitly take advantage of the coherence properties of the incident beams. CDI has rapidly advanced in the last fifteen years to allow characterization of a broad range of materials, including nanoparticles, strained crystals, biomaterials and cells. PCI has been widely employed in dynamics and engineering studies of materials, geophysics, medicine and biology. Various techniques making use of both x-rays and electrons have been developed that provide unique characterization abilities such as three-dimensional strain mapping and non-destructive three-dimensional quantitative tomographic imaging.
Increasingly, materials modeling at the atomistic and continuum scales is being used in conjunction with these imaging techniques to enhance their capability. Such combined imaging and modeling methods include building experimentally informed models, which are in turn used to make predictions at spatio-temporal scales inaccessible to the imaging technique, and the use of deep learning algorithms trained on synthetic data. These pre-trained deep learning algorithms are being used to improve the quality of acquired x-ray data, reduce experimental measurement times and also reduce compute time required to recover 3D images from raw data.

Areas of interest include, but are not limited to:
(1) All x-ray based techniques including Bragg CDI, Fresnel CDI, ptychographic CDI, propagation phase contrast imaging, interferometry imaging, and analyzer based phase-contrast imaging
(2) All electron based techniques including ptychography and electron CDI
(3) Computational and simulation efforts with overlap in high resolution imaging.
(4) Big data analytics and machine learning methods to accelerate data abstraction and improve image quality
(4) All structural and functional materials systems needing high resolution imaging
(5) Industrial applications
(6) Development of new techniques and new sources
Logistics: This is a growing field and does not have a large presence at TMS. We had great success with our first three symposiums. The first held in 2013 in San Antonio and the second in 2015 in Orlando then again in 2017 in San Diego with great international responses. In 2017 the symposium grew to two full days (four sessions). We plan on continuing this direction with at least a four-session symposium.

Abstracts Due 07/16/2018
Proceedings Plan Planned: Supplemental Proceedings volume

3D Mapping of Subgrains with High Resolution 3DXRD
A Fast Algorithm for Improving Reconstruction Quality with Incomplete Tomography Data
Advances in Fatigue Crack Growth Characterization via In Situ Phase Contrast Tomography Imaging
Coherent Diffraction Imaging at High X-ray Energies
Computational Investigation of Limits of Bragg Coherent Diffraction Imaging
Deep Learning of Inverse Problems in Scanning Transmission Electron Microscopy/Scattering
Deep Neural Networks for Feature Extraction and Image Reconstruction from Coherent X-ray Diffraction Imaging Data
Deformation Behavior of Functionally Graded Polymeric Foams Using X-ray Tomography
Direct Observation of Point to Parallel Array Cu GB Segregation Behavior in Al Alloy 7075
Examining Dzyaloshinskii Domain Walls in Asymmetric Pt/Co/Ni/Ir Superlattices Using Lorentz TEM
Exploring Ion-irradiation Damage Using Bragg Coherent X-ray Imaging and 3D Transmission Electron Microscopy
Hard X-ray Coherent Diffraction Imaging Using Nanoscale Focusing Optics
High Throughput Nano-size Precipitates Characterization of Steels with Unprecedented Statistics: Transmission Kikuchi Diffraction on Extraction Replicas
Identification and Visualization of Chemical Outliers through Scientific Data Mining in Nanoscale Spectro-microscopic Study of NMC Electrode
In Situ Loading of Engineered Materials during X-ray 3D Tomographic Imaging
Investigation of Helium Precipitates in Ta(Ti)/Zr(Ti) Composites Made by Solid Metal Dealloying
K-18: High-resolution Multi-modal Imaging Capability at the Hard X-ray Nanoprobe Beamline of NSLS-II
Learning CDI Reconstructions with Backpropagation
Materials Characterisation via Optical Ptychographic Imaging: Principles and Applications
Measurements of Irradiation Induced 3D Strain Field at the Nanoscale with X-ray Bragg Coherent Diffraction Imaging
Multi-angle Bragg Projection Ptychography with Probe Retrieval
Multi-modal 3D Imaging of LiNi1-x-yMnxCoyO2 Cathode Material with Concentration-gradient
Multi-reflection Bragg Coherent Diffractive Imaging of Real-world Materials Samples
Multimodal Imaging Using Hard X-ray Speckle
Photoelastic Ptychography for Anisotropic Imaging of Optically Transparent Samples
Recent Development of Full-field X-ray Microscope at NSLS-II - A Case of Battery Research
Revealing the Growth Dynamics of Nature’s Forbidden Crystals
Sparse Dictionary Learning Methods for Coherent X-ray Diffractive Imaging
STEM Diffraction Contrast Image Simulations for Complex Dislocation Configurations
Three-dimensional Imaging of Vortex Phases in Ferroic Materials
Ultrahigh-speed X-ray Imaging for Studying Materials Structure Dynamics
Understanding Catalyst Complexity at Synchrotron Light Sources Using Hard X-ray Ptychography and Tomography
X-ray Coherent Surface Scattering Imaging for Surface 3D Imaging and Material Characterization

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