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About Moseley 2022 Physics-Informed Machine Learning-1
This document is a thesis submitted for the degree of Doctor of Philosophy. It presents research on physics-informed machine learning and its applications to real-world problems. The thesis acknowledges support from various institutions and collaborators. It contains an abstract that outlines the focus on assessing how well physics-informed ML techniques scale to complex, real-world problems across different domains. Case studies are presented on lunar science and geophysics applications.
Detailed Information
| Author: | ['ga.simplicio2'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 268 |
| Language: | English |
| Format: | |
| Price: | FREE |
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