ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
August 2026
Nuclear Technology
July 2026
Fusion Science and Technology
Latest News
NRC proposes security regulation changes
In 2025, President Trump issued Executive Order 14300, “‘Ordering the Reform of the Nuclear Regulatory Commission,” which directs the NRC to conduct a sweeping, multifaceted overhaul of its structure, culture, and regulations with the aim of facilitating increased deployment of new nuclear technologies and capacity.
Karl H. Spatschek
Fusion Science and Technology | Volume 37 | Number 2 | March 2000 | Pages 95-111
Kinetic Theory | doi.org/10.13182/FST00-A11963204
Articles are hosted by Taylor and Francis Online.
In this overview, the main arguments for a kinetic description of a classical, non-relativistic many-body system are reviewed. The need and strategy for a kinetic description of plasma particles are discussed. The Vlasov, the Landau-Fokker-Planck, and the Balescu-Lenard equations are presented as the most useful kinetic equations for the particle distribution functions. In the second part, some simple applications are discussed. First, collision frequencies are derived. Second, it is shown that in the mean field approximation a linearization of the initial value problem can already give interesting insights into the (collective) dynamic behaviors. Third, quasi-linear and weak turbulence theories are discussed. Fourth, it is argued why in many cases a reduction to a plasmadynamic (fluid) description is appropriate, and popular truncations are summarized. Finally, the generality of the statistical methods is demonstrated on the example of magnetic field line diffusion.