727 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 reinforcement learning agent trained in high-fidelity simulation that achieves robust, zero-shot dynamic plasma shape control in tokamaks by simultaneously tracking arbitrary targets and tolerating random diagnostic sensor failures without requiring backup controllers or mode-switching logic.
This review comprehensively examines the past decade's theoretical and experimental advances in laser-assisted nuclear decay and excitation, highlighting key developments in modeling laser-nucleus interactions and achieving breakthroughs in exciting specific isotopes like Th, Kr, and Sc to enable future applications in fundamental science and technology.
This paper develops a superstatistical framework for quasiequilibrium plasmas to derive macroscopic transport relations, demonstrating that non-Maxwellian suprathermal populations systematically enhance transport coefficients such as conductivity, mobility, and viscosity compared to standard Maxwellian predictions.
This paper presents fully kinetic PIConGPU simulations demonstrating that laser-driven compression of magnetized cryogenic hydrogen targets produces a dominant non-thermal ion acceleration mechanism via charge-separation double layers, which remains robust under laboratory-scale magnetic fields but is significantly suppressed and altered by kilotesla-scale fields that magnetize hot electrons and extend compression times.
This paper systematically derives the Boris and Rodrigues integrators from exponential integrators for simulating charged particles in magnetic turbulence, demonstrating that while the Rodrigues scheme is theoretically more accurate, both methods yield comparable practical results without significant differences in computational cost.
This paper presents a neural network-based approach that generates real-time, state-aware virtual circuits from a library of over one million simulated equilibria, enabling accurate and robust independent control of coupled plasma shape parameters for the MAST Upgrade tokamak.
This study uses numerical simulations of a coronal loop to demonstrate that the upcoming Multi-slit Solar Explorer (MUSE) mission can detect signatures of phase mixing and turbulent cascades through synthesized high-resolution spectroscopic observations, specifically showing that intensity power spectra at MUSE resolution accurately reflect the underlying density turbulence spectrum.
This study demonstrates that magnetic reconnection at the heliospheric current sheet, modeled via a coupled Parker transport equation and 2D MHD simulation, successfully reproduces the observed power-law energy distributions and charge-to-mass scaling of high-energy protons and heavier ions detected by the Parker Solar Probe.
This paper formulates axion magnetohydrodynamics beyond the ideal limit to demonstrate that magnetic reconnection in neutron stars and magnetars acts as a localized source of coherent axion bursts through the conversion of magnetic energy via non-ideal plasma effects.
This paper introduces a quantum-inspired semi-implicit solver utilizing quantized tensor networks to efficiently solve the high-dimensional Vlasov-Maxwell equations, achieving significant computational cost reductions and relaxed time-step constraints while accurately capturing plasma physics with low-rank approximations.