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Related lectures (27)

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Covers fluid quantities, moments of kinetic equation, two-fluid model, and plasma turbulence simulation.

Covers the concept of moments of the distribution function in plasma physics and their relation to fluid dynamics.

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

Covers the self-consistent description of a plasma and conservation principles.

Explores the evolution of the distribution function describing particles in phase space.

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Explores joint random variables, conditional density, and independence in probability and statistics.

Explores impact ionisation in plasma physics and the random walk model as a key challenge in understanding plasma confinement.

Covers the derivation of the one-fluid model for Magneto-hydro dynamics (MHD) by introducing one-fluid variables.

Explores the fundamentals of Brownian motion, including particle positions and distribution functions.