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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 D2C – Converting and Compressing Discrete Dislocation Microstructure Data
Author(s) Stefan Sandfeld, Dominik Steinberger, Manuel Leimberger
On-Site Speaker (Planned) Stefan Sandfeld
Abstract Scope The mechanical behaviour of materials is strongly dependent on the underlying microstructure. Understanding and predicting this structure-property relation e.g. of ductile metals is central to experimental and computational materials science. One of the big challenges is the characterization of often very complex microstructure and the direct comparison of data possibly obtained from different computational and/or experimental methods. We propose a novel 'language' for computationally characterizing dislocation microstructures: using orientation distributions we can mathematically compress the data by means of a continuum description and the minimum information principle. This data format can be tuned w.r.t. the level of compression and allows to directly compare (ensemble averages of) discrete microstructures from very different methods, e.g. MD simulations, TEM data or DDD microstructure. We additionally show how our approach might serve as the foundation for a unified approach towards data mining of dislocation data.
Proceedings Inclusion? Planned: A print-only volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

3D Digital Representations of Knitted Textile Architectures
An ICME Approach to Generation Three Advanced High Strength Steel Development
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
PRISMS: An Integrated Predictive Multi-Scale Capability for the Materials Community
Spectral Database Solutions to Elasto-viscoplasticity within Finite Elements
Statistical Characterization of Microstructure-sensitive Models Applied to Engineering Components
The Materials Data Facility - Data Services to Advance Materials Science Research
Towards an ICME Methodology: Current Activities in Europe
Towards Better Efficiency and Accuracy: Data Mining for Prediction and Optimization in Materials System Design
Web Based Nano-materials Design Platform for Li Ion Battery

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