Turbulence: Statistical Analysis

Related lectures (30)

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Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

Explores Lagrangian mechanics, symmetries, conservation laws, and the Hamiltonian concept.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Explores scaling and renormalization in statistical mechanics, emphasizing critical points and invariant properties.

Explores Large Eddy Simulation in turbulence theory, covering simulation approaches, energy decomposition, and statistical analysis.

Explores the classification and practical applications of symmetries in 3D space, emphasizing user-driven determination of object symmetries.

Introduces the concept of discrete symmetries in Quantum Field Theory and their impact on particles and anti-particles.

Explores turbulence, symmetry, and the impact of Reynolds number on flow behavior.

Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.

By the instructor Tobias Schneider explores the fundamental aspects of turbulence and its significance in various scientific disciplines.