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.

How Does Intercalation Reshape Layered Structures? A First-Principles Study of Sodium Insertion in Layered Potassium Birnessite

This first-principles study investigates how sodium intercalation into layered potassium birnessite alters its structural stability, ion diffusion barriers, vibrational modes, and electronic properties, revealing that the process induces significant lattice distortions and transforms the material into a tunable bipolar magnetic semiconductor with potential applications in energy storage and spintronics.

Adriana Lee Punaro, Daniel Maldonado-Lopez, Jorge L. Cholula-Díaz, Marcelo Videa, Jose L. Mendoza-Cortes2026-04-14🔬 cond-mat.mtrl-sci

Unified Gas-Kinetic Scheme for Unsteady Multiscale Flows with Moving Boundaries

This paper presents a robust and efficient hybrid overlapping moving-mesh technique integrated within the unified gas-kinetic scheme (UGKS) to accurately simulate unsteady multiscale flows with moving boundaries, such as hypersonic multi-body separation and MEMS flows, by extending implicit solvers to mitigate CFL constraints and optimize computational performance.

Yue Zhang, Wenpei Long, Junzhe Cao, Kun Xu2026-04-14🔬 physics

A sign-blocking method for mitigating the fermion sign problem

This paper introduces a sign-blocking method that mitigates the fermion sign problem by applying data blocking during post-processing to infer energy through correlations with sign factors, achieving exceptional agreement with state-of-the-art benchmarks in the 2D Fermi-Hubbard model.

Yunuo Xiong, Hongwei Xiong2026-04-14🔬 physics

Scalable Generative Sampling and Multilevel Estimation for Lattice Field Theories Near Criticality

This paper introduces a multiscale generative sampler that combines conditional Gaussian mixture models and masked continuous normalizing flows to overcome critical slowing down in lattice field theories, achieving significantly reduced autocorrelation times and enabling unbiased Multilevel Monte Carlo variance reduction for the two-dimensional scalar $\phi^4$ theory near criticality.

A. Singha, J. Kauffmann, E. Cellini, K. Jansen, S. Nakajima2026-04-14⚛️ hep-lat

Space-Clock Elevator: Multi-Stage Orbital Transport via Rotating Tethers and Elliptical Nodes

This paper numerically investigates and proposes the "Space-Clock Elevator," a modular orbital transport architecture that utilizes synchronized rotating tethers and intermediate elliptical nodes to enable propellant-free, multi-stage payload transfers between different orbital regimes while maintaining dynamic stability.

Maksim A Kazanskii2026-04-14🔭 astro-ph

HydroFirn: A numerical model for large-scale multidimensional firn hydrology

The paper introduces HydroFirn, an efficient large-scale multidimensional numerical model for firn hydrology that overcomes the limitations of traditional one-dimensional approaches by simulating coupled unsaturated-saturated flows and dynamic ice layer formation, thereby improving the understanding of meltwater percolation and reducing uncertainties in sea-level rise estimates.

Mohammad Afzal Shadab, Surendra Adhikari, C. Max Stevens, Asa K. Rennermalm, Jing Xiao, Marc A. Hesse, and Reed M. Maxwell2026-04-14🔬 physics

Bicuspid Valve Closure and Backflow Prevention: Role of Leaflet Geometry

This study numerically demonstrates that the length, shape, and stiffness of bicuspid valve leaflets critically determine their efficiency in preventing retrograde flow, explaining why shorter leaflets in abnormal or immature valves lead to reflux.

B. Kaoui, A. Bou Orm, P. Navet, J. Baish, L. L. Munn2026-04-14🔬 physics

Active Learning for Generalizable Detonation Performance Prediction of Energetic Materials

This paper presents an active learning workflow that integrates density functional theory, thermochemical modeling, and machine learning to screen over 70 billion candidates, resulting in a generalizable predictive model and the largest public database of CHNO explosives to date, which reveals oxygen balance as the primary driver of detonation performance.

R. Seaton Ullberg, Megan C. Davis, Jeremy N. Schroeder, Andrew H. Salij, M. J. Cawkwell, Christopher J. Snyder, Wilton J. M. Kort-Kamp, Ivana Matanovic2026-04-13🔬 physics

Hierarchical Community Detection in Bipartite Networks

This paper introduces a novel resolution-parameterized objective function called generalized bipartite modularity density ( $Q_{bg}$ ) that effectively detects hierarchical community structures in both weighted and unweighted bipartite networks without altering their intrinsic topology, outperforming conventional methods in recovering mesoscale and fine-scale organization.

Tania Ghosh, Kevin E. Bassler2026-04-13🔬 physics

EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers

EquiformerV3 advances the third generation of SE(3)-equivariant graph attention Transformers by introducing optimized software, architectural refinements like equivariant merged layer normalization and smooth-cutoff attention, and novel SwiGLU- $S^2$ activations to significantly enhance efficiency, expressivity, and physical consistency, thereby achieving state-of-the-art performance on major 3D atomistic modeling benchmarks.

Yi-Lun Liao, Alexander J. Hoffman, Sabrina C. Shen, Alexandre Duval, Sam Walton Norwood, Tess Smidt2026-04-13🔬 physics

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