USACM: UQ TTA Webinar. Title: Validation of Displacement Damage Models

Webinar:  Join Zoom Meeting
https://us06web.zoom.us/j/92756548524?pwd=cTFoRXIvNVN4dVFoaHEzK0pQQjhldz09 (Meeting ID: 927 5654 8524/Passcode: 934745)

September 23; 2pm ET

Speaker: Kathryn Maupin, Sandia National Laboratories

Title: Validation of Displacement Damage Models

As the third pillar of science, computational simulation has allowed scientists to explore, observe, and test physical regimes previously thought to be unattainable. High-fidelity models are derived from physical principles and calibrated to experimental data. However, missing or unknown physics and measurement, experimental, and numerical errors give rise to uncertainties in the model form and parameter values in even the most trustworthy models. Thus, rigorous calibration and validation of a computational model is paramount to its effective us as a predictive tool. The popularity of the Bayesian paradigm stems from its natural integration of measurement and model uncertainties. A systematic approach to model validation, as originally outlined by Oden, et al in [1-2], progressing from parameter and quantity of interest identification to sensitivity analysis, calibration, and validation, is applied to a drift-diffusion simulation code called Charon. Charon allows the computational qualification of semiconductor devices subjected to displacement damage. This work is dedicated to Dr. J. Tinsley Oden.

*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.

[1] J.T. Oden, R. Moser, and O. Ghattas. Computer predictions with quantified uncertainty, Part I. SIAM News, 43(9), November 2010.
[2] J.T. Oden, R. Moser, and O. Ghattas. Computer predictions with quantified uncertainty, Part II. SIAM News, 43(10), December 2010.