614 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 presents a generalized theory of zonal flow growth in toroidal geometry, demonstrating that radial magnetic drifts drive a new propagating branch called the toroidal secondary mode and validating this framework against gyrokinetic simulations.
This paper presents numerical simulations using COMSOL Multiphysics to analyze the minimum sustaining coil excitation current and key plasma parameters, such as temperature profiles and axial velocities, in an argon-filled RF-RF hybrid plasma torch operating at atmospheric pressure under varying coil distances and high-frequency power levels.
This paper presents a fast automated scheme to characterize X- and O-points in Wendelstein 7-X by analyzing how variations in superconducting coil currents influence magnetic field topology, island chain properties, and the stability metric Tr(M) across standard, high/low iota, and randomly sampled configurations.
This paper introduces Decoder-DeepONet (DDON), a novel interpretable operator-learning model that significantly outperforms previous neural network and classical methods in reconstructing electric field profiles from EFISH signals by offering superior accuracy, generalizability, and robustness to incomplete data while identifying optimal sampling windows.
This study utilizes hybrid particle-in-cell simulations to demonstrate that parametric decay instability of Alfvén waves in ultra-low-beta ionospheric plasmas drives significant nonthermal ion heating, beam formation, and bidirectional acceleration, offering a plausible mechanism for space weather particle precipitation.
This paper presents an analytic model demonstrating that ablation-driven field compression in magnetized inertial confinement fusion creates a radially bent field at the hotspot edge that negates thermal insulation benefits, while showing that an initially applied mirror field configuration yields superior performance compared to standard axial fields.
Using gyrokinetic simulations with the ORB5 code, this study demonstrates that global zonal structures in the geodesic acoustic mode frequency range are non-linearly generated by the high-n component of turbulence in TCV and ASDEX Upgrade magnetic configurations, a mechanism confirmed by isolating the effect via antenna-driven turbulence modes.
This paper systematically investigates the propagation and collisional absorption of normally incident laser light in strongly magnetized inhomogeneous plasma, revealing that while left-hand circularly polarized waves reflect at cutoff with enhanced absorption at higher magnetic fields, right-hand polarized waves can transition into whistler modes above a critical frequency to penetrate and deposit energy deep within overdense plasma.
This paper experimentally demonstrates that high-power laser pulses propagating through air undergo periodic collapse arrest events driven by rotational nonlinearity, generating topologically constrained spatiotemporal optical vortices that organize into charge-separated arrays and create a temporal intensity comb for controlled long-range filamentation.
This paper demonstrates the application of the Sparse Identification of Nonlinear Dynamics (SINDy) method with a weak formulation to accurately identify effective microparticle interaction potentials from noisy simulation data, offering a promising approach for analyzing experimental dusty plasma systems like the PK-4 experiment.