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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium Driving Discovery: Integration of Multi-Modal Imaging and Data Analysis
Sponsorship TMS Structural Materials Division
TMS: Advanced Characterization, Testing, and Simulation Committee
Organizer(s) Charudatta Phatak, Argonne National Laboratory
Doga Gursoy, Argonne National Laboratory
Emine Begum Gulsoy, Northwestern University
Yang Jiao, Arizona State University
Scope Imaging and microscopy offer a way to “see” a real material in all of its complexities, and explore its behavior, often in operando conditions. Combining such experiments with complementary techniques and analytical spectroscopy allows one to gain a deeper insight into the relevant physical phenomena. These new insights allow us to successfully address grand-challenge problems, such as those in the materials for energy field. Manual integration and analysis of data are far too time consuming and cumbersome for large, complex and especially multi-modal datasets. State-of-the-art mathematics and computer science tools are needed to automate the understanding process for data integration and analysis. Only then will our scientific understanding be able to fully benefit from the oncoming deluge of data.

The proposed symposium will focus on state of the art advanced computational tools and visualization methods that address integration of multi-modal imaging and spectroscopic data. The symposium also aims to explore and introduce potentially important methods for future applications. The symposium seeks to bring together an interdisciplinary community of experts and researchers with expertise in computational as well as experimental methods. By doing so, we believe this symposium will facilitate a conversation focused on computational integration of imaging and data as well as pave the way to identify current limitations and future challenges for data integration. It is the organizing committee’s aim that this will be mutually beneficial for researchers leading and shaping the experimental methods as well as computational ones, resulting in new scientific discoveries.
Abstracts Due 07/15/2015
Proceedings Plan 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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