725 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.
Using nonlinear gyrokinetic simulations with newly implemented electromagnetic diagnostics in GENE and CGYRO, this study demonstrates that electromagnetic microturbulence, particularly through electron-driven Maxwell stress in microtearing modes, can generate sufficient turbulent current flux to potentially modify the safety-factor profile in high-beta tokamak plasmas.
This paper introduces a quasi-single-stage (QSS) optimization framework that directly integrates coil feasibility into plasma-boundary design, successfully producing advanced stellarator configurations with smoother surfaces, reduced coil complexity, and preserved magnetic symmetry without compromising plasma performance.
This paper introduces an intuitive voxel-to-detector (V2D) approach for computing physically accurate volume-of-sight (VoS) geometry matrices for plasma tomography, demonstrating through TCV tokamak studies that while VoS models improve reconstruction precision compared to line-of-sight approximations, the simpler models do not significantly bias estimates of total radiated power.
This paper presents high-resolution 3D simulations demonstrating that the properties of sub-sonic compressible magnetohydrodynamic turbulence relevant to cosmic-ray transport—specifically density fluctuations, spectral anisotropy, and shock formation—are critically dependent on the initial injection mode, fluctuation amplitude, and plasma beta ().
This paper introduces AGNI, a GPU-accelerated, differentiable solver that extends ideal MHD stability optimization to finite toroidal mode numbers, enabling efficient gradient-based design of tokamaks and stellarators against interchange instabilities.
This paper introduces a differentiable framework that directly optimizes the second adiabatic invariant to improve stellarator particle confinement, successfully integrating first-principles orbit physics with engineering constraints to produce compact, stable, and coil-compatible fusion reactor designs.
This paper demonstrates that using programmable pulse shaping with solid-state power modules to optimize discharge timing and waveform in gas-fed pulsed plasma thrusters significantly improves propellant utilization, resulting in a 278% increase in specific impulse and a 16.5-fold improvement in thrust efficiency compared to traditional single-shot operation.
This paper numerically demonstrates that spiral phase contrast imaging (SPCI) significantly outperforms traditional phase contrast imaging (PCI) in plasma diagnostics by extending the measurable wavenumber response down to approximately 0.007 mm⁻¹, thereby capturing low-wavenumber turbulence information that remains inaccessible to PCI due to its inherent cutoff at 0.1 mm⁻¹.
This paper introduces a data-driven, non-Markovian Fourier Neural Operator closure trained online within a differentiable fluid solver that successfully reproduces both linear and nonlinear Landau damping in electrostatic plasma by learning a memory-dependent moment-to-flux relation from simulation trajectories rather than kinetic snapshots.
This paper presents a tutorial on the open-source LoKI-GM framework, a global model that couples electron and heavy-species kinetics solvers to provide a flexible and computationally efficient tool for studying complex chemistries in low-temperature plasmas across various discharge configurations.