physics.comp-ph papers | Gist.Science

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.

Adaptive near-contact repulsion in conservative Allen-Cahn phase-field lattice Boltzmann multiphase model

This paper introduces a fully local, adaptive repulsive flux within a conservative Allen-Cahn phase-field lattice Boltzmann model to effectively prevent spurious coalescence in multiphase flow simulations by dynamically adjusting interaction strength based on estimated local film thickness, thereby ensuring robust and physically consistent near-contact dynamics without sacrificing computational efficiency.

Andrea Montessori, Maria Rosa Lisboa, Marco Lauricella, Sauro Succi2026-03-19🔬 physics

Modeling Decay Heat with a Simplified Depletion Chain in OpenMC

This paper presents a method to improve the accuracy of decay heat estimates in OpenMC depletion simulations by modifying the simplified CASL chain through the addition of pseudo-nuclides and "delay nuclides" to capture the behavior of missing nuclide groups without sacrificing computational efficiency.

Tanmay Gupta, Benoit Forget2026-03-19🔬 physics

Interface-dependent Phase Transitions and Ultrafast Hydrogen Superionic Diffusion of H2O Ice

By integrating artificial neural networks with large-scale molecular dynamics simulations, this study demonstrates that the diamond-ice interface significantly alters high-pressure water behavior by lowering the superionic transition temperature, inducing spontaneous bcc-to-fcc phase transitions via the inverse Bain mechanism, and redefining the stability fields of ice phases, thereby resolving discrepancies between theoretical predictions and experimental observations.

Pengfei Hou, Yumiao Tian, Zifeng Liu, Junwen Duan, Hanyu Liu, Xing Meng, Russell J. Hemley, Yanming Ma2026-03-19🔬 cond-mat.mtrl-sci

ALPHANSO: Open-Source Modeling of ( $\alpha$ ,n) Neutron Source Terms

This paper introduces ALPHANSO, an open-source Python package that modernizes ( $\alpha$ ,n) neutron source term calculations by incorporating updated nuclear data and offering a modular framework that matches or exceeds the accuracy of legacy tools like SOURCES-4C.

Anthony J. Nelson, Divit Rawal, William Zywiec, Daniel Siefman2026-03-19⚛️ nucl-th

Isotopic variations and Zeeman-like splitting in the spectra of nonlinear photonic meta-atoms

This paper establishes an analogy between nonlinear photonic meta-atoms and soft-core atoms to demonstrate how higher-order dispersive effects induce isotopic, isomeric, and Zeeman-like spectral variations in their resonance frequencies.

S. Zhang, I. Babushkin, U. Morgner, A. Demircan, O. Melchert2026-03-19🔬 physics.optics

Magneto-rotation coupling dominates surface acoustic wave driven ferromagnetic resonance in the longitudinal geometry

This paper introduces a phonon-magnon extension to the mumax+ framework that validates three SAW coupling mechanisms and reveals that, contrary to expectations, magneto-rotation coupling—not the dominant magnetoelastic field—drives ferromagnetic resonance in the longitudinal geometry, enabling strong coupling regimes.

Gyuyoung Park, OukJae Lee, Jintao Shuai2026-03-19🔬 cond-mat.mes-hall

Hamiltonian Monte Carlo enhanced by Exact Diagonalization

This paper introduces H $^2$ MC, a hybrid algorithm combining Exact Diagonalization and Hamiltonian Monte Carlo that overcomes the scaling limits of ED and the sign problem of standard Monte Carlo methods to enable efficient simulations of larger 2D arrays of coupled quantum wires.

Finn L. Temmen, Martina Gisti, David J. Luitz, Thomas Luu, Johann Ostmeyer2026-03-19⚛️ hep-lat

A thermodynamic approach to nonlinear ultrasonics for material state awareness and prognosis

This paper presents a thermodynamic framework based on internal variables and a pseudo-elastic strain energy function to model nonlinear ultrasonic responses for monitoring material damage progression, specifically linking the evolution of nonlinearity parameters to fatigue, creep, and accumulated plastic strain.

Vamshi Krishna Chillara2026-03-18🔬 cond-mat.mtrl-sci

Reduced-Order Models for Thermal Radiative Transfer Based on POD-Galerkin Method and Low-Order Quasidiffusion Equations

This paper introduces a reduced-order modeling technique for nonlinear radiative transfer in high-energy density physics that combines Proper Orthogonal Decomposition with Galerkin projection on the Boltzmann transport equation to generate closures for low-order quasidiffusion and material energy balance systems, demonstrating their accuracy through numerical results.

Joseph M. Coale, Dmitriy Y. Anistratov2026-03-18💻 cs

Multilevel Second-Moment Methods with Group Decomposition for Multigroup Transport Problems

This paper introduces multilevel iterative schemes that combine parallel multigroup and grey low-order Second-Moment equations with Anderson acceleration to efficiently solve multigroup Boltzmann transport equations.

Dmitriy Y. Anistratov, Joseph M. Coale, James S. Warsa, Jae H. Chang2026-03-18💻 cs

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