This congress will provide a forum for presentations and discussions centering on ICME-related topics, including:
"DAMASK: Experiences from 10 years of ICME Software Development for Physics-based ICME"
Ford Motor Company
"An ICME Approach to Development of a Low-Cost Magnesium Sheet Component for Automotive Applications"
IMDEA Materials Institute and Technical University of Madrid
"Virtual Testing of Structural Composites: A Multiscale Perspective"
GM Global Technical Center
"ICME for High Strength Metal Alloys: Current Status and Future Challenges "
"Hybrid Twin: Combining Physics- and Data-based Models in a Consistent Digital Thread Spanning the AM Process Chain"
Argonne National Laboratory
"To Machine Learning… and Beyond: The Use of Machine Learning to Understand and Predict Advanced Material Behavior in the ICME Context"
National Renewable Energy Laboratory
"Computational Design of Lithium-ion Batteries Using Multi-scale Models and Machine Learning"
"ICME of Additively Manufactured Metals: New Computational Tools and the Central Role of Materials Data"
Charles H. Ward
Air Force Research Laboratory
"Organizational Implementation of ICME in the Laboratory"
Institute of Metal Research
"Titanium Alloy and Process Design: Gaining Insights through Multi-scale Computation"
Instructor: Mohammadreza Yaghoobi, University of Michigan
PRISMS-Plasticity is an open-source parallel 3-D crystal plasticity finite element (CPFE) software. PRISMS-Plasticity scales well for large problems running on hundreds of processors. It is highly modular and easy to add new features to the software.
Instructor: David Montiel, University of Michigan
PRISMS-PF is an open-source, general purpose framework for high-performance phase field modeling. The framework’s performance is enabled by its use of a matrix-free finite element method for explicit time integration, advanced adaptive meshing, and multi-level parallelization. It features a simple interface for editing governing equations that is separate from the numerical implementation, which facilitates the development of custom applications by the user.
Attendees will also familiarize themselves with tools for integration between PRISMS-PF and other frameworks, such DREAM.3D for generating input synthetic microstructures, VisIt and ParaView for results visualization, and the Materials Commons repository for data storage and sharing.
Instructor: Raymundo Arroyave, Texas A&M University
This sub-session will detail the principals behind model reification/fusion, and will conclude with a demonstration of the model reification/fusion approach as implemented in BAREFOOT. First, the concept of reduced order models, truth models, and discrepancy models will be introduced, followed by the concept of reification (model correlation estimation). Finally, the model fusion as an optimization approach will demonstrated, highlighting its advantages.
This sub-session will cover the fundamentals of sequential Bayesian Optimization and will conclude with a demonstration of the Batch Bayesian Optimization approach as implemented in BAREFOOT. First, sequential Bayesian Optimization will be demonstrated, followed by Batch Bayesian Optimization; Both optimization schemes will be demonstrated on a simple ground truth model whose input and output are both 1-dimensional. The advantages of Batch Bayesian Optimization will be highlighted.
This sub-session will serve as a brief primer on Multi-Objective Optimization, concluding with the construction of a Pareto-Front of optimal solutions.
Instructor: Brent Vela, Texas A&M University
This sub-session will cover the application of the BAREFOOT framework, applying the information learned in previous subsections. First, two instances of single-objective optimization will be demonstrated, one with low dimensional input and one with high dimensional input, followed by a demonstration of multi-objective optimization with high dimensional input. The advantages of BAREFOOT will be highlighted.
Instructor: Steve Plimpton, Sandia National Laboratories
LAMMPS is a molecular dynamics code which can be used to model materials via particle-based models at the atomistic to meso to continuum scales. This tutorial will be a 50/50 mix of (1) instruction about LAMMPS and its features and (2) demonstrations of its capabilities. The latter will be in a hands-on format. Attendees who have pre-loaded software onto their laptops will be able to follow along, run simulations to familiarize themselves with LAMMPS, and also ask questions.
The abstract deadline has now passed. If you have any questions regarding abstract submission, send an e-mail to TMS Programming Staff.
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