Applying Machine Learning to Study Fluid Mechanics

  • Brunton, Steven (University of Washington)

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This work describes how to use machine learning to build data-driven models in fluid mechanics. Specifically we explore how the sparse identification of nonlinear dynamics (SINDy) algorithm may be used to develop accurate and efficient nonlinear dynamical systems models for complex natural and engineered fluid systems