Plasma and Artificial Intelligence
A special issue of Plasma (ISSN 2571-6182).
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 1442
Special Issue Editors
Interests: plasma physics; neural networks
Interests: general relativity; cosmology; gravitational physics; geometry; mathematical physics; theoretical physics; group theory; quantum optics; quantum mechanics; quantum field theory
Special Issue Information
Dear Colleagues,
The physics of plasma is developed mostly in tokamaks. Thes device is rather complicated with many unknown variables to control in order that the fusion experiment really starts. Magnetic configuration, internal currents, geometric configuration. There are also various instabilities that should be controlled, Alfven waves, elms, runaway electrons, and disruptions. All these issues have been evaluated in various tokamaks and somehow controlled. It is possible to collect all this data and study the most efficient one using a multilayer perceptron, i.e. artificial intelligence.
Prof. Dr. Brunello Tirozzi
Dr. Orchidea Maria Lecian
Guest Editors
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Keywords
- asymptotic expansion of the plasma equation
- beam transport
- phase space evolution of the canonical variables
- beam brightness
- symplectic maps and plasma nonlinearity
- bubble regime
- high-power lasers
- averaging of hyperbolic equation
- self-averaging of neural networks
- learning algorithms
- Monte Carlo simulation for optimization of neural network performance
- critical capacity
- pattern retrieval and recognition
- overlap parameters
- self-organizing maps
- free energy and entropy of neural networks
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