Data-driven Modelling and Scientific Machine Learning in Continuum Physics
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science—specifically in continuum physics. It develops the foundations and details a number of scientific machine learning approaches to enrich current computational models of continuu...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| Edition: | 1st ed. 2024. |
| Series: | Interdisciplinary Applied Mathematics,
60 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-031-62029-4 |
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