599 papers
Plasma physics explores the behavior of the fourth state of matter, a superheated soup of charged particles that makes up most of the visible universe. From the fusion power we hope to harness on Earth to the glowing auroras and distant stars above, this field investigates how these energetic gases interact with magnetic fields and light. It is a dynamic area where extreme conditions reveal fundamental laws of nature in ways solid matter never can.
At Gist.Science, we bridge the gap between these complex discoveries and curious minds by processing every new preprint from arXiv in this category. We transform dense, technical research into clear, plain-language explanations alongside detailed summaries, ensuring that breakthroughs in plasma dynamics and fusion energy are accessible to everyone. Below are the latest papers in plasma physics, curated and simplified for your reading.
This paper demonstrates that nonadiabatic switching of an external transverse magnetic field in laser wakefield accelerators provides a phase-selective mechanism to control betatron oscillation amplitudes and modulate radiation spectra without significantly affecting longitudinal acceleration.
The paper demonstrates that rapid current variations during stellarator coil quenches can trigger dangerous runaway electron avalanches, particularly in reactor-scale devices with radiation-induced seed populations, though these events offer more mitigation time compared to tokamak disruptions.
This paper introduces a new Transonic sub-Alfvénic Turbulence (TsAT) model, supported by 3D MHD simulations, which demonstrates that near-Sun solar wind turbulence remains effectively nearly-incompressible with a 2D + slab geometry despite transitioning to a transonic regime, provided it stays sub-Alfvénic.
This paper investigates and establishes the extension procedures, stability conditions, and accuracy metrics for applying extended phase-space symplectic integration to simulate both classical electron dynamics in turbulent magnetic fields and quantum Kohn-Sham time-dependent density-functional theory, thereby paving the way for its broad application across systems with finite and infinite degrees of freedom.
This paper demonstrates that graph neural network-based deterministic and probabilistic surrogates can accurately and efficiently emulate 5D hybrid-Vlasov simulations of solar wind-magnetosphere interactions, achieving over two orders of magnitude speedup while maintaining high predictive correlations for electromagnetic fields and plasma moments.
This paper establishes the optimal spatial resolution requirements for hybrid simulations of the ion Weibel instability in collisionless shocks by developing a tailored linear theory and validating it against particle-in-cell simulations, thereby providing practical guidance to accurately capture ion-scale physics while avoiding unphysical small-scale artifacts.
This paper presents a theoretical framework for modeling weakly collisional plasmas in general relativity by deriving relativistic drift kinetic equations and introducing a new analytic Landau fluid closure that captures anisotropic heat flow and kinetic effects without relying on strong collisions, offering a complementary approach to fully kinetic simulations for interpreting horizon-scale black hole observations.
This paper characterizes the evolution of Shattered Pellet Injection (SPI)-induced disruptions in ASDEX Upgrade, detailing how varying injection parameters and neon assimilation influence the sequence of disruption phases and mitigation efficiency, as evidenced by changes in disruption time scales and plasma current profiles.
This paper introduces a highly efficient 3D-CNN surrogate model that predicts hydrogen migration barriers in tungsten with high accuracy and a 23,000-fold speedup over traditional NEB calculations, thereby enabling real-time dynamic simulations of plasma-wall interactions in fusion reactors.
This paper demonstrates that modeling space plasma heat-flux instabilities with a realistic three-component electron formalism (core, halo, and strahl) reveals significantly different growth rates and complex mode interplays compared to simplified two-component models, offering new insights into heat-flux regulation.