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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 Experiences with ICME Information Infrastructures for Applying Materials Models in Sequence to Give Accurate Macroscopic Property Prediction
Author(s) Will Marsden, David Cebon, Steven Arnold, Brett Bednarcyk, Nic Austin, Igor Terentjev
On-Site Speaker (Planned) Will Marsden
Abstract Scope This paper draws on findings from the Material Data Management Consortium. This Consortium, now in its 15th year, enables leading engineering enterprises (including among others GE, Boeing, Honeywell, Lockheed Martin, and NASA) to collaborate on best practice approaches to managing and applying critical materials information and technology with a key focus on traceable workflows for simulation and multi-scale modeling of materials, their processing and the resulting components. A key emphasis has been on verification and validation of macroscopic materials properties generated through the sequentially-applied materials models; from ab-initio codes or models of microscopic unit cells through calculations at various length scales up to macroscopic properties. An example of this integration technology is described, using the MAC/GMC micromechanics code from NASA Glenn Research Center. Focus is given to the traceability of the simulated data and capture of sufficient metadata to ensure that the simulations can be recreated in future.
Proceedings Inclusion? Planned: A print-only volume


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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
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