The conference will be held at Hodson Hall on the campus of Johns Hopkins University (download map).. The following is an UPDATED PRELIMINARY PROGRAM. (updated 1/9/2019)
7:30 - 8:00 Registration & Breakfast - Hodson Hall 210
8:00 - 8:15 Opening Remarks - Michael Shields, Lori Graham-Brady, Somnath Ghosh, Michael Falk
HEMI Introduction - KT Ramesh
Chair: Vissarion Papadopoulos, National Technical University of Athens
Room: Hodson Hall 210
8:15 - 8:40 A Tour of Stochastic Modeling for Materials Science and Multiscale Analysis
Johann Guilleminot - Duke University
8:40 - 9:05 Reflections on the Use of Monte Carlo Simulation in Stochastic Mechanics
George Deodatis - Columbia University
9:05 - 9:30 Tensor Random Fields in Continuum Mechanics
Martin Ostoja-Starzewski - University of Illinois
9:30 - 9:55 Optimal Uncertainty Quantification with Focus on Material Uncertainty
Michael Ortiz - California Institute of Technology
9:55 - 10:15 Discussion
10:15 - 10:30 Coffee Break & Posters - Hodson Hall
Chair: Ernest Chin, Army Research Lab
Room: Hodson Hall 210
10:30 - 10:55 Stochastic Modelling of Damage Localization in Quasibrittle Materials
Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6
Jia-Liang Le - University of Minnesota
10:55 - 11:20 Stochastic Non-Local Lattice Particle Method for Voxel Level Uncertainty Quantification and Material Failure Analysis
Yongming Liu - Arizona State University
11:20 - 11:45 Stochastic Damage Mechanics: Developments nd Recent Progress
Jie Li - Tongji University
11:45 - 12:10 Estimates of Extreme Material Responses for Random Microstructures
Mircea Grigoriu - Cornell University
12:10 - 12:30 Discussion
12:30 - 1:30 Lunch - Hodson Hall
Chair: Fariba Fahroo, Air Force Office of Scientific Research
Room: Hodson Hall 210
1:30 - 1:55 Data-Driven Model Reduction and Probabilistic Learning for Digital Twins
Charbel Farhat - Stanford University
1:55 - 2:20 Optimal Bayesian Experimental Design: Methodologies and Materials Applications
Part 1 | Part 2 | Part 3 | Part 4
Youssef Marzouk - Massachusetts Institute of Technology
2:20 - 2:45 Sparse Regularization for Learning High-Dimensional Functions
Clayton Webster - Oak Ridge National Laboratory
2:45 - 3:10 Endowing Deep Neural Networks with Uncertainty Quantification
George Karniadakis - Brown University
3:10 - 3:30 Discussion
3:30 - 3:45 Coffee Break & Posters - Hodson Hall
Chair: James Warner, National Aeronautics and Space Administration
Room: Hodson Hall 210
3:45 - 4:10 Design of New Materials and Structures to Maximize Strength at Probabilisty Tail: A Neglected Challenge for Quasibrittle and Biomimetic Materials
Zdenek Bazant - Northwestern University
4:10 - 4:35 Rationale Design of Interatomic Potentials Through Multi-Objective Optimization
Simon Phillpot - University of Florida
4:35 - 5:00 An Adaptive Reduced Basis Approach for PDE Constrained Optimization Under Uncertainty
Wilkins Aquino - Duke University
5:00 - 5:25 Optimization Under Uncertainty for Predicting Properties and Performance
Jim Stewart - Sandia National Laboratory
5:25 - 5:45 Discussion
5:45 - 6:00 Speed Poster Slam - Hodson Hall 210
6:00 - 6:30 Break
6:30 Depart for Dinner - Bus Departure (locations TBA)
7:00 - 10:00 Dinner - 13th Floor Belvedere
8:00 - 8:30 Registration & Breakfast - Hodson Hall 210
Chair: Michael Falk, Johns Hopkins University
Room: Hodson Hall 210
8:30 - 8:55 The Fundamental Challenges to Uncertainty Quantification of Atomistic-Scale Materials Simulations
Stephen Foiles - Sandia National Laboratory
8:55 - 9:20 Predictive Multiscale Modelling of Materials Chemomechanics
Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6
James Kemode - University of Warwick
9:20 - 9:45 Role of Uncertainty Quantification in Embedded Scale-Bridging Materials Simulations
Timothy Germann - Los Alamos National Laboratory
9:45 - 10:00 Discussion
10:00 - 10:15 Coffee Break & Posters - Hodson Hall
Chair: Somnath Ghosh, Johns Hopkins University
Room: Hodson Hall 210
10:15 - 10:40 Multiscale and Multidimensional Uncertainty Quantification in Integrated Computational Materials Engineering
Wei Chen - Northwestern University
10:40 - 11:05 Accelerating Scale Bridging via Surrogate Modeling
Jaroslaw Knap - Army Research Laboratory
11:05 - 11:30 Uncertainty in the Definition and Calibration of Multiscale Material Models
David McDowell - Georgia Institute of Technology
11:30 - 11:55 Homogenization Estimates for the Macroscopic Response and Field Statistics in Viscoplastic Polycrystals
Part 1 | Part 2 | Part 3 | Part 4
Pedro Ponte Castaneda - University of Pennsylvania
11:55 - 12:15 Discussion
12:15 - 1:15 Lunch - Hodson Hall
Chair: Sanjay Govindjee, University of California, Berkeley
Room: Hodson Hall 210
1:15 - 1:40 Multi-Scale Multi-Physics Uncertainty Quantification of Manufacturing Effects on Material Performance
Sankaran Mahadevan - Vanderbilt University
1:40 - 2:05 Calibration and Uncertainty Analysis for a Temperature-Dependent Yield Strength Model of Additively Manufactured Alloy 718Plus
John McFarland - Southwest Research Institute
2:05 - 2:30 Sensitivity Analysis for Multi-Scale Modeling to Inform Design Optimization
Stephanie Termaath
2:30 - 2:45 Discussion
2:45 - 3:00 Coffee Break & Posters - Hodson Hall
Closing Session
Chair: Michael Shields, Johns Hopkins University
Room: Hodson Hall 210
3:00 - 3:15 NSF NHERI SimCenter
Sanjay Govindjee - University of California, Berkeley
3:15 - 4:00 Closing Discussion - Primary Challenges and Future Directions