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Meeting 2018 TMS Annual Meeting & Exhibition
Symposium Building an ICME Infrastructure: Developing Tools that Integrate Across Length and Time Scales to Accelerate Materials Design
Presentation Title Need for Uncertainty Quantification in Multiscale Materials Modeling Need for Uncertainty Quantification in Multiscale Materials Modeling
Author(s) Stephen M. Foiles
On-Site Speaker (Planned) Stephen M. Foiles
Abstract Scope In order for modeling and simulation to be an important part of the materials design and qualification process, the level of confidence that should be associated with the model predictions needs to be assessed. However, modeling at the atomistic and microstructural scales has traditionally been primarily utilized as a tool to gain qualitative insight into underlying mechanisms. As such, little attention has been paid to uncertainty quantification (UQ) in these studies. Moving forward, the ability to assign realistic uncertainty to the predictions of these models will be needed if they are to gain increased engineering application. This is true both for the uncertainty associated with simulations at a given length/time scale and, more challenging, the uncertainties associated with propagating information between scales. In this talk, suggestions for first steps in this direction will be discussed.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Coupled Experimental and Computational Investigation of Creep-resistant Mg-RE-Zn Alloy
Accelerating the Process-structure-property Discovery Cycle
Application of Diffusion Multiples to the Study of Kinetics and Modulus Properties in the Ti-Mo-Nb-Ta-Zr System
Atomistic Polymer Simulations in the Cloud at nanoHUB.org
Challenges in Multiscale Modeling of Emergent Phenomena in Solid Mechanics
Conceptual and Computational Challenges in Multiscale Modeling
Coupled Crystal Plasticity-phase Field Method to Model Crack Initiation and Propagation in Ti64 Alloys.
Data Science and Informatics: Key Integrators of Multiscale Experiments and Multiscale Models in ICME
Differences between Measured and Simulated Elastic Strain States Using High Energy X-ray Diffraction in Titanium Using Crystal Plasticity Models
Enabling Connection of Online Simulation Tools and Databases: nanoHUB.org
Gaps in Multiscale Modeling to Address Mechanical Properties of Metal Alloys
Integrated Computational Materials Engineering (ICME) in Support of Business Decision Making and Open Innovation Through Interdisciplinary Collaboration.
Integrating Materials Microstructure Information into Engineering Design and Manufacturing
Integration of ICME Tools for the Design of Co-base Single Crystals
Making Materials Science Resources Discoverable and Accessible with the NIST Materials Resource Registry
Modeling Plastic Anisotropy of Textured Polycrystalline Materials
Modeling the Microstructural Evolution and Yield Strength in an Advanced Die Casting Aluminum Alloy
Need for Uncertainty Quantification in Multiscale Materials Modeling Need for Uncertainty Quantification in Multiscale Materials Modeling
Prediction of Hole Expansion Ratio Using Microstructure Based Dual-scale Finite Element Approach
Quantitative Approaches to Identification and Characterization of Microtexture Regions in Titanium Alloys
TAMMAL : High throughput Materials Design Suite
TESSRA: A Cloud-based Multiscale Platform for Modern Alloys Design
The Materials Commons: A Collaboration Platform and Information Repository for the Global Materials Community
The PRISMS Framework: An Integrated Multi-scale Capability for Accelerated Predictive Materials Science
Uncertainty Quantification and Propagation through CALPHAD Thermodynamics and Integrated Computational Materials Engineering (ICME)
Yield Stress, Proportional Limit: Do They Exist?

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