734 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 study utilizes gyrokinetic simulations to demonstrate that nonlinear spectral back-transfer of free energy from zonal modes to turbulence fundamentally limits the temporal coherency of shearing fields, a mechanism that is significantly suppressed in negative triangularity plasmas, thereby enhancing turbulence regulation despite lower absolute zonal kinetic energy.
This paper introduces a resolution-independent machine learning heat flux closure, trained via a Fourier Neural Operator on particle-in-cell data, which successfully bridges kinetic and fluid descriptions by accurately predicting heat flux and temperature evolution across disparate spatial resolutions in inertial confinement fusion plasmas.
This paper presents a multi-magnetofluid model for a compact, rotating spherical torus burning p-B11 plasma featuring distinct thermal and suprathermal components that enhance fusion rates and modify stability, transport, and confinement properties to support ENN's aneutronic commercial fusion roadmap.
This paper presents the first fully kinetic simulations of driven 2D relativistic plasma turbulence that successfully induce a fast magnetosonic cascade, revealing a transition from weak wave-dominated dynamics to strong shock-driven behavior with spectral properties in the weak regime that align with theoretical predictions.
This paper introduces HISP, an open-source simulation tool used to demonstrate that baking is the most effective method for removing tritium from ITER's plasma-facing components, significantly outperforming Glow Discharge Conditioning and low-power deuterium pulses which had minimal impact on the final inventory.
This research demonstrates high-repetition-rate, multi-MeV laser-driven ion acceleration by utilizing intersecting counterpropagating blast waves to create long-lived, near-critical density gaseous targets where multi-kilotesla magnetic vortices drive the primary acceleration mechanism.
This statistical study of approximately 800 interplanetary shocks observed by the Wind spacecraft reveals that proton temperature anisotropy downstream is strongly shaped by shock geometry, deviates from adiabatic predictions due to non-adiabatic processes, and is regulated by kinetic instabilities that constrain the plasma as it relaxes toward typical solar wind conditions.
This study utilizes 2D hybrid Möbius simulations to demonstrate that during tearing-driven magnetic reconnection in weakly collisional plasmas, energy conversion primarily occurs in the nonlinear phase where magnetic energy transforms into ion bulk flow and heating, with firehose kinetic instabilities subsequently regulating the resulting parallel temperature anisotropy by redistributing internal energy to the perpendicular direction.
This paper presents the IAEA's Fusion Data Lake project, a five-year initiative under the AI for Fusion Coordinated Research Project that aims to accelerate AI and big data applications in fusion energy by developing a FAIR-compliant data infrastructure featuring an international catalogue, centralized storage, and global data federation to enhance the accessibility and visibility of experimental datasets.
This paper presents a validated OpenEdge model for simulating lithium droplet transport and evaporation in tokamak edge plasmas, revealing that droplet fate depends on size and launch location while enabling self-consistent evaluation of their impact on edge-plasma performance through one-way and two-way coupling with SOLPS-ITER.