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Meeting 2016 TMS Annual Meeting & Exhibition
Symposium ICME Infrastructure Development for Accelerated Materials Design: Data Repositories, Informatics, and Computational Tools
Sponsorship TMS Materials Processing and Manufacturing Division
TMS: Integrated Computational Materials Engineering Committee
Dongwon Shin, Oak Ridge National Laboratory
Jiadong Gong, QuesTek Innovations
Shengyen Li, National Institute of Standards and Technology
Francesca M. Tavazza, National Institute of Standards and Technology
Mark A. Tschopp, US Army Research Laboratory
Scope OBJECTIVE: This symposium will provide a venue for presenting focused research and development related to accelerating materials design and innovation for fielding new materials and processes using the ICME approach.

BACKGROUND and SCOPE: Integrated computational materials engineering (ICME) is crucial to accelerating the pace of materials design, development, manufacturing, and deployment of advanced materials systems for achieving global competitiveness in the 21st century. While success stories in automotive and aerospace sectors exist, one of the challenges that ICME faces for adoption across a wide array of materials and materials systems is that of developing the infrastructure for integrating computational and experimental data across a variety of length and times scales. The proposed symposium aims to gather a diverse interdisciplinary group of prominent materials scientists and engineers to present work on the development of infrastructure tools to facilitate ICME in a wide array of materials classes, which can include metals, composites, ceramics, and polymers. While all material classes are welcomed, the focus of this symposium is on the models, databases, simulation tools, and general infrastructure development that support ICME efforts in an almost material-agnostic manner. We are seeking abstracts in the following general topic areas:

• Open standards and data repositories, including resource and data type registries

• Workflow tools for extracting, transforming, and analyzing data related to microstructure and properties

• Informatics based tools and data mining approaches

• Uncertainty quantification and propagation in both models and experiments

• Data management tools, especially for large datasets

• Validation and verification tools and methods for linking simulations with experiments

• Integration tools and methods for linking processing-structure-property relationships

The ability to develop the infrastructure tools, data, and methods is critical to optimizing the impact that ICME can have on accelerated materials development.
Abstracts Due 07/15/2015
Proceedings Plan Planned: A print-only volume

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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