Data Driven Tools for Lagrangian Turbulence

Explore data-driven approaches for analyzing Lagrangian turbulence in this 43-minute lecture by Luca Biferale, presented at the International Centre for Theoretical Sciences. Delve into advanced techniques for studying fluid dynamics from a particle-following perspective as part of a broader discussion meeting on field theory and turbulence. Gain insights into the connections between turbulence, field theory, statistical mechanics, and critical phenomena. Examine the application of data-driven tools to investigate circulation in classical and quantum fluid flows, scaling theories in turbulence, and the relationship between turbulence and singularities in fluid equations. Enhance your understanding of complex fluid dynamics and cutting-edge research methodologies in the field of Lagrangian turbulence.

Data Driven Tools for Lagrangian Turbulence by Luca Biferale