🔬 Category

physics.comp-ph

903 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.

Building a Regional Data-Centric Materials Science Ecosystem for Processing-Rich Materials Innovation in the Great Plains

This paper proposes a regional data-centric ecosystem for the Great Plains to overcome barriers in materials innovation by integrating distributed experimental assets with FAIR metadata, uncertainty-aware modeling, and cross-trained workforces, using a high-purity germanium pilot to demonstrate how trustworthy data practices and interoperable infrastructure can drive processing-rich materials discovery.

D. -M. Mei, K. Acharya, C. M. Adhikari, M. Adhikari, S. Aryal, B. V. Benson, K. Bhatta, S. Bhattarai, N. Budhathoki, A. M. Castillo, D. Chakraborty, S. Chhetri, S. Choudhury, T. A. Chowdhury, R. D. Cr (…)2026-05-20🔬 physics.app-ph

Diversity-Aware Batch-Mode Active Learning for Efficient Sampling in Data-Driven Constitutive Modeling

This paper proposes a diversity-aware batch-mode active learning strategy that utilizes a committee of support vector classifiers and a cosine-similarity metric to efficiently generate non-redundant, informative datasets for constitutive modeling, thereby achieving predictive accuracy comparable to sequential methods while significantly reducing the number of machine learning retraining cycles required.

Ronak Shoghi, Lukas Morand, Dirk Helm, Alexander Hartmaier2026-05-20🔬 physics

HARD: A Performance Portable Radiation Hydrodynamics Code based on FleCSI Framework

HARD is an open-source, performance-portable radiation hydrodynamics code built on the FleCSI framework and Kokkos that enables efficient simulations across diverse hardware architectures while ensuring scientific reliability through automated regression testing and community-driven development.

Julien Loiseau, Hyun Lim, Andrés Yagüe López, Mammadbaghir Baghirzade, Shihab Shahriar Khan, Yoonsoo Kim, Sudarshan Neopane, Alexander Strack, Farhana Taiyebah, Benjamin K. Bergen2026-05-19🔭 astro-ph

Orthogonal Attosecond Control of Solid-State Harmonics by Optical Waveforms and Quantum Geometry Engineering

This study demonstrates that combining all-optical two-color laser fields with mechanical strain engineering enables precise, orthogonal control over high-harmonic generation in monolayer WS2, where strain-induced modifications to band dispersion and Berry curvature significantly enhance perpendicular harmonic emission and provide a robust signature for probing quantum geometric effects.

Zhenjiang Zhao, Zhihua Zheng, Zhiyi Xu, Xing Ran, Xiaolong Yao, Fangping Ouyang2026-05-19🔬 cond-mat.mtrl-sci

A Conservative Discontinuous Galerkin Algorithm for Particle Kinetics on Smooth Manifolds

This paper presents a novel, conservative discontinuous Galerkin algorithm for simulating particle kinetics on smooth manifolds that utilizes Hamiltonian formulations to exactly conserve density and energy, incorporates a BGK collision operator with an iterative scheme for preserving collisional invariants, and demonstrates its efficacy through various test cases including rotating geometries and shock problems.

Grant Johnson, Ammar Hakim, James Juno2026-05-19⚛️ gr-qc

Cosmogenic activation in detector materials at shallow depths

This paper presents the first detailed study of cosmogenic activation in detector materials at shallow depths (<100 m.w.e.), calculating specific isotope production rates and suppression factors to address the unique multi-process background challenges faced by sensitive dark matter and neutrino experiments.

Sagar S. Poudel, Lekhraj Pandey, Robert Calkins, Manish K. Jha, Ben Loer, John L. Orrell, Alan Robinson, Joel Sander, Richard W. Schnee2026-05-19🔬 physics

Non-linear diffusion and inhomogeneity of the magnetic field in single-turn coils: Insights from 3D multiphysics modeling

This paper utilizes fully 3D multiphysics finite element modeling to demonstrate that the highly inhomogeneous magnetic fields generated in destructive single-turn coils are caused by the nonlinear diffusion of electric current, temperature, and magnetic fields driven by the skin effect, rapid heating, and coil deformation.

Hideaki Kobayashi, Yugaku Goyo, Yuto Ishii, Yasuhiro H. Matsuda, Kunio Takekoshi, Akihiko Ikeda2026-05-19🔬 physics.app-ph

High-Order ADER-DG Hydrodynamics with ExaHyPE: Implementation, Validation, and Astrophysical Benchmarking

This paper presents the implementation, validation, and astrophysical benchmarking of a high-order ADER-DG solver for compressible Euler equations within the ExaHyPE framework, demonstrating its ability to accurately resolve complex flow features like shocks and interfaces through a combination of adaptive mesh refinement and a posteriori subcell limiting.

Andrés Mauricio Suárez Mantilla, Leonardo Castañeda Colorado2026-05-19🔬 physics