738 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 new experimental platform designed for the Orion laser to characterize how the whistler heat-flux instability suppresses thermal conductivity in weakly collisional, magnetized plasmas.
By integrating a custom limiter geometry into the UEDGE fluid transport code, this study demonstrates that modeling the electron density profiles of the ADITYA-U tokamak requires both a constant inward convective velocity and a perpendicular diffusion coefficient that lies between neoclassical and Bohm values.
This paper demonstrates that the transport of particles at the plasma edge is determined by the interplay of wave phase and spatial modes, where identical modes allow for phase-controlled confinement through interference, whereas mismatched modes create complex, fractal-like phase-space structures that drive transport.
This paper demonstrates that a plasma impedance probe (PIP) operated with a controlled DC bias can directly measure sheath thickness in agreement with Child-Langmuir scaling, establishing it as a valid and complementary diagnostic tool to the traditional Langmuir probe.
This study combines analytical methods and large-scale simulations to demonstrate that the maximum energy gained by particles during magnetic reconnection is determined by the number of magnetic flux rope mergers, which scales with the system size and is driven by Fermi reflection.
This study demonstrates through 2D PIC simulations that utilizing annular sector targets significantly enhances laser-driven ion acceleration by leveraging optical confinement and geometric plasma focusing to double electron temperatures and increase proton cut-off energies from 12 MeV to 22 MeV compared to standard flat foils.
This paper presents a validated numerical model within the PELOTON code that simulates pellet rocket acceleration in thermonuclear fusion devices by accounting for ablation cloud asymmetry and plasma gradients, demonstrating consistency with JET experimental trajectories and revealing reduced deviation for deuterium-neon composite pellets.
This paper addresses the storage bottleneck in high-dimensional gyrokinetic plasma simulations by introducing Physics-Informed Neural Compression (PINC), a method that achieves extreme compression ratios of up to 120,000x while preserving essential physical fidelity through physics-tailored loss functions and entropy coding.
This study validates the role of ballooning instability and plasmoid formation as substorm onset triggers by comparing MHD simulation results with THEMIS satellite and ground-based auroral observations, specifically analyzing the correspondence between simulated field-aligned currents and observed auroral patterns to advance self-consistent magnetotail-ionosphere coupling models.
This paper introduces a Fully Convolutional Neural Network (FCNN) based non-local closure for the electron pressure tensor in turbulent magnetosheath simulations, demonstrating that it significantly outperforms local closures in reconstructing energy channels and pressure-strain interactions while showing favorable scaling with increased training data.