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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Driving Discovery: Integration of Multi-Modal Imaging and Data Analysis
Presentation Title Integrated Imaging: The Sum is Greater than the Parts
Author(s) Amanda Petford-Long
On-Site Speaker (Planned) Amanda Petford-Long
Abstract Scope Imaging and microscopy combined with spectroscopy, diffraction, or other analytical methods, allow one to see and understand a real material in all of its complexity. The use of in situ or operando studies, for example using x-ray and electron microscopy, extends this out to 4D or 5D visualization of local behavior. However, as powerful as these individual approaches are, usually no single measurement provides all the information needed to understand a material. Integrated imaging offers a way to bridge across experimental and computational imaging capabilities and thus close the loop between design, simulation, synthesis, characterization, and analysis. In this talk I will give a overview of Argonne’ imaging initiative with examples related to nanostructures and materials for energy, that explore the way in which such an approach can address scientific challenges.
Proceedings Inclusion? Planned: A print-only volume


3D and 4D Characterization of Failure Mechanisms in Commercial Li-Ion Batteries
Bingham Mixture Model for Efficient Microtexture Estimation from Discrete Orientation Data
Correlation of Multi-modal Chemical Imaging with Computational Simulations for Energy Materials
Digital Representation of Materials Grain Structure from Four-Dimensional X-ray Microtomography Data
Error Analysis of Near-field High Energy Diffraction Microscopy
In Situ Synchrotron Quantification of Evolving Solidification Microstructures in Ni and Co Based Alloys
Integrated Imaging: The Sum is Greater than the Parts
Integrated Multimodal Imaging of Cathodes for Lithium Ion Battery
Methodology for Reconstruction of Samples Analyzed with Simultaneous Neutron and X-Ray Imaging
Modeling Multi-modal Images of Photocatalysis on Cu2O
Multi-Modality Imaging at the Hard X-ray Nanoprobe Beamline at the NSLS-II
Multi-scale, Multi-Model Analysis of Deformation Behavior in Metallic Materials by X-ray Microtomography, FIB, and EBSD
Neutrons, Materials and Data Challenges
Real Time Analysis, Interpretation and Experimental Steering for Electron Microscopy
Recognizing Patterns from Experimental Data
Structure Quantification, Property Prediction and 4D Reconstruction Using Limited X-ray Tomography Data

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