[Faculty] Fwd: [CSRC.COLLOQUIUM] "Informing Missing Physics with Model Form Error and Model Selection "

[Jose Castillo]

*[image: SDSU_CSRC Logo.jpg]*




***** Registration is required in order to get the link to join the seminar
online. Please register at the below web page.******  Viewing Party In GMCS
314 .*


DATE:
*Friday, October 1, 2021*


TITLE:
*Informing Missing Physics with Model Form Error and Model Selection  *


TIME:
*3:30-5:00PM*



LOCATION:
*Registration is required in advance.  Please register at the following
site to receive information on how to join the seminar online.   *Meeting
Registration - Zoom
<https://us06web.zoom.us/meeting/register/tZ0rcu-rpzkuHNwQ_Stp9FX-Sw-X4QQ5YlY0>
*or*
*Viewing Party - GMCS 314*


SPEAKER/BIO:
*Dr. Kathryn A. Maupin, Senior Member of the Technical Staff, Optimization
and Uncertainty Quantification, Sandia National Laboratories*


ABSTRACT:

Despite continuing advances in statistical inversion and modeling, model
inadequacy due to model form error remains a concern in all areas of
mathematical modeling. Much like physical models, calibrating a discrepancy
model requires careful consideration regarding formulation, parameter
estimation, and uncertainty quantification, each of which is often
problem-specific. At the intersection of model form error quantification
and model selection lies a systematic methodology for identifying and
characterizing model form error as a means of identifying missing physics
or unknown phenomena, which has the potential to inform model development
and experimental design. One such methodology is presented.

*Sandia National Laboratories is a multimission laboratory managed and
operated by National Technology & Engineering Solutions of Sandia, LLC, a
wholly owned subsidiary of Honeywell International Inc., for the U.S.
Department of Energy’s National Nuclear Security Administration under
contract DE-NA0003525.

Bio:  Kathryn Maupin is a Senior Member of the Technical Staff at Sandia
National Laboratories. Her research focuses on model form error
quantification and multiobjective surrogate modeling. Broader research
interests include Bayesian methods, model validation, sensitivity analysis,
and uncertainty quantification. Kathryn joined Sandia as a postdoc in 2016
and converted to a staff position in 2018. She received her Ph.D. in
Computational Sciences, Engineering and Mathematics and her M.S. in
Computational and Applied Mathematics from the University of Texas at
Austin after completing her B.A. in Applied Mathematics at the University
of California, San Diego. When she is not working, Kathryn spends her time
playing with her two girls and three dogs.


Department Website
<https://cfwebprod.sandia.gov/cfdocs/CompResearch/templates/insert/dept.cfm?org=01463>


Host:
*Rodrigo Navarro Perez*


Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.





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