Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods

Abstract

The control of turbulence at tokamaks is very complex problem.The idea is to apply the fuzzy Markovian processes and fuzzy Brownian motions as good approximation of general robust drift kinetic equation. It is obtained by using the artificial neural networks for solving of appropriate advanced control problem. The proof of the appropriate theorem is shown.

Calculations of Double-Differential Neutron Emission Cross Sections for 9Be Target Nucleus at 14.2 MeV Neutron Energy

“…In the cross section calculations for the investigated (n,xn) reaction, the code ALICE-2011 with standard parameters has been used. In calculations, we used a calculation of neutrons on 9 Be at incident energy of 14.2 MeV in 2 MeV increments, with a histogram mesh-size of 0.2 MeV and with the number of 10,000 cascade events at each incident energy for the Monte Carlo Calculatıon. Finally, we used the data in ENGANG output file.…”

“…Fusion researchers have sought to understand a variety of abrupt transitions in plasma operating conditions observed in tokamak experiments, and to anticipate others that might be present in fusion reactors [9]. Achieving acceptable levels of the performance of a fusion reactor in the areas of safety, economics and environmental acceptability, is critically dependent on performance of divertor and blanket systems [10].…”

“…At present, beryllium is primarily obtained from the minerals beryl (Be 3 Al 2 (SiO 3 ) 6 ) and bertrandite (4BeOÁ2SiO 2 ÁH 2 O) through a chemical process. Beryllium (Be) has five known isotopes: 6 Be, 7 Be, 8 Be, 9 Be and 10 Be, but only one of these isotopes ( 9 Be) is stable with a natural abundance (100 %) and is a metal of low mass-density. The properties that make it ideal for specific nuclear applications include the lowest absorption cross section for thermal neutrons of all metals, the readiness to part with one of its own neutrons in (n,2n) reactions, and a high melting point.…”

“…They also calculated nuclear charge, neutron and proton radii, skin thickness and binding energy of [8][9][10][11][12][13][14][15][16][17][18] Be isotopes by using the SI, SIII, SVI, T3, SKM, and SKM* Skyrme parameters [8]. In the present paper, the emission spectra for the 9 Be structural fusion material were investigated by using the Hybrid Monte Carlo simulation model [18] for pre-equilibrium emissions at the bombarding energy of 14.2 MeV.…”

“…The advanced optimal control of fusion plasma confinement is solved by the methods of artificial intelligence and drift kinetic equations. It means that fuzzy systems and artificial neural networks (ANNs) should be applied in the process of optimization proposed to use fuzzy, adaptive and local Monte Carlo methods as numerical tools [9].…”