Online Program Home
My Program

Abstract Details

Activity Number: 348 - Applications: Gaussian Process and Computer Experiments
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #307154 Presentation
Title: Calibration and Analysis of Model Discrepancy in Nuclear Energy Density Functional Simulators
Author(s): Michael Grosskopf*
Companies:
Keywords:
Abstract:

Nuclear Energy Density Functional (EDF) theory has been invaluable in understanding the properties of nuclei and their impact on applications from stellar phenomena to energy applications. Numerical implementations of EDF models are able to simulate the properties of elements across the nuclide table. The simulated outputs can be compared to physical observations to both constrain uncertainty about parameters of EDF models and to understand the structure in physical data that the models are unable to capture. This talk will present work on calibration of the model and analysis of a structured discrepancy model with the goal of improving the ability to extrapolate to new nuclei properties beyond the observed and further understanding of the ways in which the simulator can be improved.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program