<p dir="ltr">This research aims to address these critical challenges in uncertainty quantification. The objective is to employ data-driven approaches for UQ with physics models.</p>
Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/25668834 |
Date | 25 April 2024 |
Creators | Huiru Li (18423333) |
Source Sets | Purdue University |
Detected Language | English |
Type | Text, Thesis |
Rights | CC BY 4.0 |
Relation | https://figshare.com/articles/thesis/DATA-DRIVEN_APPROACHES_FOR_UNCERTAINTY_QUANTIFICATION_WITH_PHYSICS_MODELS/25668834 |
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