K-CORE: Core Plasma Turbulence
Full Code Description
K-CORE models core plasma turbulence, focusing on how turbulence inside the plasma core affects overall confinement and energy retention
Algorithm Explanation
Uses turbulence models to simulate interactions inside the plasma core and predict their effect on confinement and energy loss
Scientific Applications
Enhancing the understanding of core plasma turbulence to improve energy retention and confinement
Input Parameters
Core plasma density, Magnetic field strength, Core turbulence amplitude, Plasma ion temperature
Output Data
Core turbulence intensity, Plasma energy retention, Confinement time
Algorithm Examples
1.Core turbulence model for plasma confinement
2.Finite element analysis for core turbulence-induced energy loss
3.Spectral method for core turbulence frequency spectrum analysis
4.Monte Carlo simulations for core plasma turbulence dissipation
5.Crank-Nicolson scheme for time-evolving core turbulence
6.Adaptive mesh refinement for core plasma turbulence simulations
7.Implicit-explicit solver for core turbulence-induced energy loss
8.Particle-in-cell (PIC) method for core turbulence interactions
9.Time-domain solver for core plasma turbulence effects
10.Finite difference method for core turbulence frequency spectrum
11.Spectral element method for core plasma turbulence dynamics
12.Fast Fourier Transform for core turbulence optimization
13.Boundary layer analysis for core plasma turbulence dissipation
14.Least squares method for turbulence intensity optimization
15.Semi-Lagrangian method for core plasma turbulence simulations
16.Time-stepping method for core turbulence frequency calculations
17.High-order finite element solver for core plasma dynamics
18.Spectral decomposition for core turbulence frequency spectrum analysis
19.Fast Fourier Transform for core plasma turbulence effects
20.Monte Carlo method for optimizing core plasma energy retention