1201 papers
Computational physics bridges the gap between abstract theory and real-world observation by using powerful computers to solve complex physical problems. This field allows scientists to simulate everything from the collision of subatomic particles to the swirling dynamics of galaxies, offering insights that traditional experiments alone cannot provide.
On Gist.Science, we continuously process every new preprint in this category from arXiv to make these breakthroughs accessible to everyone. Each entry is accompanied by both a clear, plain-language explanation and a detailed technical summary, ensuring that researchers and curious readers alike can grasp the significance of the latest findings without getting lost in dense equations.
Below are the latest papers in computational physics, curated to keep you at the forefront of this rapidly evolving discipline.
This paper demonstrates that the pseudo-fermion method effectively overcomes the fermion sign problem to accurately simulate the energy of strongly quantum-degenerate uniform electron gases, successfully bridging critical parameter regimes where existing methods like RPIMC and CPIMC fail.
This paper proposes a fast, FFT-based forward and adjoint operator for 3D photoacoustic tomography in planar geometries that exploits transverse shift invariance to replace computationally expensive PDE solvers with depth-dependent 2D convolutions, achieving reconstruction speedups of up to two orders of magnitude.
This paper presents recent enhancements to the BOUT++ simulation framework, including improvements to grid generation, physics models, and the library itself, to enable Flux Coordinate Independent (FCI) modeling of the Scrape-Off Layer in realistic stellarator geometries, specifically demonstrated with the Wendelstein 7-X device.
This paper presents a highly efficient theoretical model for electromagnetic scattering by a set of finite metallic circular cylinders that accounts for both cylinder finiteness and mutual coupling, achieving computational speeds five orders of magnitude faster than full-wave simulations with minimal loss of accuracy.
This study reveals that the stability and migration of the central disclination in fivefold-twinned gold nanoparticles are governed by a geometry-controlled competition between axis centering and detwinning, where concave morphologies promote symmetry restoration while shallow convex geometries trigger rapid structural relaxation.
This paper introduces Pulgon-tools, an open-source software package that fills a gap in automated symmetry analysis for quasi-one-dimensional periodic systems by integrating structure generation, line-group symmetry detection, irreducible representation analysis, and harmonic interatomic force constant corrections within a unified framework.
The paper introduces the FreeGSNKE Pulse Design Tool (FPDT), an open-source Python framework that couples an evolutive equilibrium solver with a virtual control system to simulate, design, and validate tokamak plasma scenarios and control strategies, demonstrating high accuracy against MAST Upgrade experimental data to reduce the need for costly physical testing.
This paper presents a structured reformulation of the many-body dispersion (MBD) model that enables a physically consistent pairwise decomposition of forces, providing a unified framework for energy, force, and Hessian calculations to facilitate interpretable analysis and machine learning surrogate modeling.
The paper introduces SesQ, a highly efficient surface integral equation simulator that overcomes the computational bottlenecks of conventional finite element methods to enable precise, rapid calculation of the energy participation ratio for optimizing low-loss superconducting qubit designs.
This paper introduces a fully automated, gradient-based framework that efficiently extracts interatomic force constants directly from X-ray thermal diffuse scattering data by bypassing traditional computational bottlenecks, thereby enabling high-throughput refinement of lattice dynamics models.