Automatically discovering ordinary differential equations from data with sparse regression
Abstract Discovering nonlinear differential equations that describe system dynamics from empirical data is a fundamental challenge in contemporary science. While current methods can identify such equations, they often require extensive manual hyperparameter tuning, limiting their applicability. Here...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-01-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-023-01516-2 |