Engineering and TechnologyNature Communications
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.
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