This event is part of Uncertainty Quantification and AI for Complex Systems View Details

Uncertainty Quantification for Material Science and Engineering

Description

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This workshop will focus on the challenges of UQ problems for materials science and related fields, surrogate modeling and optimization for materials science simulations, and new machine learning tools for materials science.

Organizers

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W B
William Brenneman Procter & Gamble and Georgia Institute of Technology
W C
Wei Chen Illinois Institute of Technology
P C
Peter Chien University of Wisconsin-Madison
Y H
Ying Hung Rutgers, the State University of New Jersey
R J
Roshan Joseph Georgia Tech