Introduction to Uncertainty Quantification
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Refractory Oxidation Database
19 Apr 2022 | Contributor(s): Saswat Mishra, Sharmila Karumuri, Vincent Joseph Mika, Collin Conn Scott, Michael S Titus, Ilias Bilionis, Alejandro Strachan
Creates a database of refractory alloys oxidation
A Hands-on Introduction to Physics-Informed Neural Networks
Online Presentations | 16 Jun 2021 | Contributor(s): Ilias Bilionis, Atharva Hans
Can you make a neural network satisfy a physical law? There are two main types of these laws: symmetries and ordinary/partial differential equations. I will focus on differential equations in this short presentation. The simplest way to bake information about a differential equation with neural...
Tools | 21 May 2021 | Contributor(s): Atharva Hans, Ilias Bilionis
ME 597UQ Lecture 27: How to Optimize Expensive Functions
Online Presentations | 04 Dec 2018 | Contributor(s): Ilias Bilionis
Uncertainty Quantification Tutorial using Jupyter Notebooks
Teaching Materials | 02 Oct 2018 | Contributor(s): Ilias Bilionis
Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions,...
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