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

Uncertainty Quantification for Material Science and Engineering

April 21 — 25, 2025

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 C
Wei Chen University of Buffalo
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
T S
Taylor Sparks University of Utah

Speakers

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S B
Sterling Baird University of Toronto
A C
Aleksandr Chernatynskiy Missouri S&T
W C
Wei Chen Northwestern University
K C
Kamal Choudhary National Institute of Standards and Technology (NIST)
S K
Surya Kalidindi Georgia Institute of Technology
N P
Noah Paulson Argonne National Laboratory
B P
Bruce Pitman University at Buffalo
R S
Ralph Smith North Carolina State University
T S
Taylor Sparks University of Utah
A T
Anh Tran Sandia National Labs
Y W
Yan Wang Georgia Institute of Technology
H Z
Houlong Zhuang Arizona State University

Registration

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IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request accommodations.

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