Results 121 to 130 of about 4,889,124 (198)

Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks

Machine Learning: Science and Technology
Artificial intelligence techniques have been increasingly adopted by the plasma and fusion science to address problems like plasma reconstruction, surrogate modeling, and tokamak/stellarator optimization.
Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson   +9 more
doaj   +1 more source

Fast ion confinement in quasi-axisymmetric stellarator equilibria

Nuclear Fusion
This report presents an initial analysis of the fast ion confinement and losses within quasi-axisymmetric stellarator equilibria in consideration by Thea Energy.
P.J. Bonofiglo, D.W. Dudt, C.P.S. Swanson   +2 more
doaj   +1 more source

Modeling non-planar coils in a full-scale stellarator

, 2023
Design and modeling of a stellarator fusion reactor is a multidisciplinary effort that requires a tight integration between simulation of highly nonlinear multi-physics and representation of non-planar complex geometries. The critical current calculation
Backmeyer, Merle, Lyly, Mika, Lahtinen, Valtteri, Riva, Nicolo, Halbach, Alexandre   +4 more
core   +1 more source

Efficient calculation of self magnetic field, self-force, and self-inductance for electromagnetic coils with rectangular cross-section

Nuclear Fusion
For designing high-field electromagnets, the Lorentz force on coils needs to be computed in order to design suitable support structures, and the inductance should be computed to evaluate the stored energy and dynamics.
Matt Landreman, Siena Hurwitz, Thomas M. Antonsen   +2 more
doaj   +1 more source

Optimization of transport in stellarators [PDF]

, 1989
Here we relate two stellarator transport optimization schemes to single particle orbits. We also show that reducing transport in the 1/..nu.. regime reduces transport over a much broader range of collisionality.
Van Rij, W.I., Hedrick, C.L., Beasley, C.O.   +2 more
core  

A Machine-Learning Approach to Stellarator Plasma Confinement Design and Optimization in Fusion Reactors

, 2023
This thesis aims to assess the viability of neural networks as a method of predicting steady-state plasma equilibrium solutions for magnetic field plasma confinement within a fusion reactor. The approach to this problem is broken down into several stages.
Gbadamosi, Ayomikun
core  

Stellarator Optimization Using a Distributed Swarm Intelligence-Based Algorithm

, 2012
The design of enhanced fusion devices constitutes a key element for the development of fusion as a commercial source of energy. Stellarator optimization presents high computational requirements because of the complexity of the numerical methods needed as
Castejón, Francisco, Vega-Rodríguez, Miguel A., Gómez-Iglesias, Antonio   +2 more
core   +1 more source

Economically optimized design point of high-field stellarator power-plant

Nuclear Fusion
High temperature superconductors (HTSs) expand the design space of stellarator power-plants (PPs) toward high magnetic fields B , enabling compact major radii R .
Victor Prost, Francesco A. Volpe
doaj   +1 more source

Elimination of MHD current sheets by modifications to the plasma wall in a fixed boundary model. [PDF]

Plasma Phys Control Fusion, 2020
Kim E, McFadden GB, Cerfon AJ.
europepmc   +1 more source

Stellar Wind-Inspired Optimization

This paper proposes a heuristic optimization algorithm based on the interaction between stellar winds and planets. This algorithm simulates the effects of global stellar wind exploration, magnetospheric attraction, and magnetotail perturbations on the planet, mapping these processes into an optimization problem and forming a unique multi-mechanism ...
openaire   +2 more sources