Data-Driven Fluid Mechanics

Discover the transformative impact of big data and machine learning on fluid mechanics with Data-Driven Fluid Mechanics by Miguel A. Mendez. Published by Cambridge University Press in 2023, this hardback edition spans an impressive 468 pages and offers a comprehensive exploration of the innovative data-driven tools that are revolutionizing research in the field.

This book serves as a self-contained and pedagogical resource, making it an essential read for anyone interested in model-order reduction, system identification, flow control, and turbulence closures. By bridging the gap between advanced computational techniques and practical applications, Mendez provides valuable insights that will benefit researchers and practitioners alike. Dive into the future of fluid mechanics and enhance your understanding of how data is reshaping this dynamic discipline.