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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium ICME Infrastructure Development for Accelerated Materials Design: Data Repositories, Informatics, and Computational Tools
Presentation Title Analytics on Large Microstructure Datasets Using 2-pt Statistics
Author(s) Ahmet Cecen, John W. Gibbs, Peter W. Voorhees, Surya R. Kalidindi
On-Site Speaker (Planned) Ahmet Cecen
Abstract Scope With the rapid development of numerous experimental techniques and imaging tools, there is now a critical need for efficient strategies to distill useful insights from massive amounts of 3D and 4D materials datasets. Spatial correlations in the form of n-point statistics have been shown to be very effective in addressing this need. In this work, we present a versatile framework for the computation of 2-pt statistics for a very broad class of microstructures, while accommodating diverse boundary assumptions, types and kinds of local states, masking conditions, and efficient resource utilization especially for massive materials datasets. We demonstrate these strategies through application to a large 3D microstructure snapshot of an Al-Cu solidification obtained using X-ray tomography techniques. In particular, we extract new physical insights regarding the spatial arrangement of the solid-liquid interfaces that improve our understanding of the underlying phenomena governing the evolution of the solid-liquid mixture.
Proceedings Inclusion? Planned: A print-only volume


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An ICME Approach to the Investigation of the Relationship between Processing Parameters and Microstructure Development in an Extruded ZE20 Magnesium Alloy
An Integrated Model for Prediction of Yield Stress in Al-7Si-Mg Cast Alloys
Analytics on Large Microstructure Datasets Using 2-pt Statistics
Assessing the State of Manufacturing Process Data and its Potential as a Shared Resource for ICME
Automated Convergence Checks with the Python Based Workbench PyIron
D2C – Converting and Compressing Discrete Dislocation Microstructure Data
Data Curation and Exchange the Easy Way: Modular Data Models and Automated Capture
Data Structures and Algorithms for Thermodynamic and Related Data in the Open Calphad Software System
Development of Common Materials Classification Terminology to Enhance Discoverability, Exchange, and Reuse of Data
Evaluating Image Texture Recognition Algorithms for Generic Microstructure Characterization
Experiences with ICME Information Infrastructures for Applying Materials Models in Sequence to Give Accurate Macroscopic Property Prediction
Genomic Data Infrastructure for Computational Materials Design
Magpie: A Materials-Agnostic Platform for Informatics and Exploration
Materials Data Curation System
Materials Data Management and Chaining of Multiprocess Modeling under the Framework of ICME
Microstructural Modeling of Dynamic Intergranular and Transgranular Fracture Modes in Crystalline Alloys
MIDAS: A Workflow Tool for Improving Materials Strength Modeling
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Spectral Database Solutions to Elasto-viscoplasticity within Finite Elements
Statistical Characterization of Microstructure-sensitive Models Applied to Engineering Components
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Towards an ICME Methodology: Current Activities in Europe
Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design
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