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Program

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)

Day 1: Thursday, 17 January 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

Session 1: Stochastic Modeling of Materials – Methodology 

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

Session 2: Stochastic Modeling of Materials – Material Failure

Chair: Ernest Chin, Army Reserach Lab

Room: Hodson Hall 210

10:30 – 10:55

Stochastic modeling 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
Part 1 | Part 2 | Part 3

Yongming Liu – Arizona State University

11:20 – 11:45

Stochastic Damage Mechanics: Developments and 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

Session 3: Data-Driven Modeling and Machine Learning

Chair: Fariba Fahroo, Air Force Office of Scientific Reseach

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

Session 4: Design and Optimization for Materials

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 Probability Tail: A Neglected Challenge for Quasibrittle and Biomimetic Materials
Part 1 | Part 2 | Part 3

Zdenek Bazant – Northwestern University

4:10 – 4:35

Rational 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
Part 1 | Part 2 | Part 3

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 – 13thFloor Belvedere

 

Day 2: Friday, 18 January 2019

8:00 - 8:30

Registration & Breakfast - Hodson Hall 210

Session 5: Multiscale Material Modeling – Microstructure 

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 Kermode - University of Warwick

9:20 - 9:45

Role of Uncertainty Quantification in Embedded Scale-Bridging Materials Simulations

Tmothy Germann - Los Alamos National Laboratory

9:45 – 10:00

Discussion

10:00 – 10:15 

Coffee Break & Posters - Hodson Hall

Session 6: Multiscale Material Modeling – Multiscaling 

Chair: Somnath Ghosh, Johns Hopkins University

Room: Hodson Hall 210

10:15 – 10:40

Multiscale and Multidimensional Uncertainty Quantification in Integrated Computational Materials Engineering
Part 1 | Part 2 | Part 3

Wei Chen – Northwestern University

10:40 – 11:05

Accelerating Scale Bridging via Surrogate Modeling
Part 1 | Part 2 | Part 3

Jaroslaw Knap – Army Research Laboratory

11:05 – 11:30

Uncertainty in the Definition and Calibration of Multiscale Material Models
Part 1 | Part 2 | Part 3

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

Session 7: Multiscale Material Modeling – Macroscale 

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, John Hopkins University

Room: Hodson Hall 210

3:00 - 3:15

NSF NHERI SimCenter 

Sanjay Govindjee – University of California at Berkeley 

3:14 - 4:00

Closing Discussion – Primary Challenges and Future Directions