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Learning dominant physical processes with data-driven balance models

Engineering and Technology

Learning dominant physical processes with data-driven balance models

J. L. Callaham, J. V. Koch, et al.

This innovative research conducted by Jared L. Callaham, James V. Koch, Bingni W. Brunton, J. Nathan Kutz, and Steven L. Brunton introduces a data-driven method to unveil dominant physical processes in complex systems, utilizing advanced unsupervised learning techniques to reveal key mechanistic models across various applications such as turbulence and neuronal dynamics.... show more
Citation Metrics
Citations
86
Influential Citations
3
Reference Count
114
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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