917 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 presents a rapid and robust simulation workflow that combines the toroidal STRIDE code with the two-fluid slab layer solver SLAYER to accurately predict classical tearing mode stability and growth rates across a wide range of reactor-relevant plasma conditions.
This paper introduces a stochastic single-stage stellarator optimization method that combines fixed-boundary MHD equilibria with randomly perturbed coils to avoid sharp local minima and produce more robust quasi-symmetric configurations with improved flux, symmetry, and particle confinement compared to existing deterministic and two-stage approaches.
This paper introduces Proof-Carrying Materials (PCM), a rigorous framework combining adversarial falsification, statistical refinement, and formal Lean 4 certification to overcome the high failure rates of single machine-learned interatomic potentials, thereby significantly improving the reliability and discovery yield of high-throughput materials screening.
This paper presents the public release of OpenGadget3, a cosmological hydrodynamical N-body code featuring a robust implementation of self-interacting dark matter that supports various elastic scattering cross-sections and two-species models, validated through accuracy tests and performance scaling.
This paper demonstrates that the optical extinction manifold of dielectric materials exhibits intrinsic sparsity best captured by the Discrete Cosine Transform rather than the FFT, enabling a compressed sensing architecture that achieves high-fidelity material reconstruction with a 51–94% reduction in hardware sensors by overcoming traditional Nyquist limits.
This paper introduces a gauge transformation that eliminates time-dependent onsite potentials by renormalizing hopping terms with phase factors, thereby simplifying time-ordered integrals and facilitating the simulation of pulse propagation in scattering systems.
This paper establishes a formal equivalence between the Lindblad equation and Path Integral Molecular Dynamics (PIMD), demonstrating how PIMD can be utilized to simulate the non-equilibrium time evolution and convergence of ensemble-averaged observables in large atomic systems without explicitly solving the Lindblad equation, while ensuring the physical consistency of the density operator's positivity.
This paper proposes a mechanism for nonvolatile electrical manipulation of spin and layer degrees of freedom in altermagnetic bilayers, such as CuF2, by utilizing sliding ferroelectricity to reversibly switch d-wave altermagnetic spin splitting, thereby enabling multifunctional spin-layertronic devices with potential multi-state logic applications.
SymBoltz.jl is a new Julia package that provides a symbolic-numeric, approximation-free, and fully differentiable solver for linear Einstein-Boltzmann equations, offering exact derivatives and flexible model construction while maintaining performance comparable to existing approximation-based codes.
This paper presents a computational framework that combines database analysis with microscopic modeling to predict and identify promising new molecular single-photon emitters, successfully benchmarking the approach on dibenzoterrylene and discovering novel candidates like a chiral emitter.