Boris Breizman

TL;DR: In this article, the authors provided a qualitative description of the particle response to the ambient runaway electrons, and they showed that the particle will be sublimated instantly at the edge of the runaway beam, and the subsequent rapid expansion of the sub-limated material spreads the impurities over the poloidal cross-section of a tokamak on a millisecond time scale prior to the complete ionization of the expanding cloud.

TL;DR: In this paper, a theory of quasistatic approximation was proposed to investigate the excitation of nonlinear plasma waves by the driving beam of ultrarelativistic electrons using a novel electrostatic-like particle-in-cell code.

TL;DR: This work has shown that convolutional neural networks, which have found applications in many image processing tasks, such as feature extraction, image classification, and object recognition, are good candidates for machine learning.

TL;DR: In this article, a theoretical framework has been developed for an NBI scenario to model the hard nonlinear evolution of Global Alfven Eigenmodes (GAEs) where the adiabatic motion of phase-space sturctures (holes and clumps), associated with the frequency chirping, occurs in generalized phase space of slowing down energetic particles.