General & Applied Physics · Physics & Astronomy
Computational Physics
The newest papers in Computational Physics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
244 papers, from 31 August 2026 to 5 November 2026: 204 arXiv preprints and 40 OpenAlex records.
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Newest papers, page 11
Explicit Full-Spark Gabor Windows with Quantitative Phase Retrieval
We construct explicit algebraic finite Gabor windows that are simultaneously full spark and phase retrievable, with quantitative control of the self-ambiguity function.Invariant domain preservation for hybrid point-value and cell-average discretizations of hyperbolic equations on general meshes
This paper presents a unified invariant-domain-preserving (IDP) framework for hybrid discretizations of hyperbolic conservation laws, including active flux and PAMPA methods, in which cell averages…Learning Metamaterial Eigenmodes with Wavelet-Encoded Fourier Neural Operators
Machine learning surrogates based on neural operators have shown broad applicability in solving forward PDE problems.Multi-Level-Set-Based Physics-Driven Neural Network to Solve 3-D Inverse Scattering Problems
This paper proposes a level-set-based physics-driven neural network solver (LSPDNN) for 3-D electromagnetic inverse scattering.A Discontinuous Galerkin Method for the Intrinsic Beam Model with Kelvin-Voigt Damping
We present an energy-stable discontinuous Galerkin (DG) spatial discretization of the intrinsic beam equations with Kelvin-Voigt damping.PhysSAE: Mechanistic Interpretability with Sparse Autoencoders
Physics-Informed Neural Networks (PINNs) embed PDE residuals into neural network training, but their internal representations remain opaque: it is unknown what physical features their hidden layers…Constitutive State-Space Modeling of Path-Dependent Plasticity: A Resolution-Consistent and Parallelizable Computational Framework
Data-driven constitutive models for path-dependent plasticity are commonly formulated using nonlinear recurrent neural networks, whose sequential state evolution limits parallel training and whose…Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics
Physics-informed neural networks (PINNs) struggle on PDEs whose governing physics varies across the domain.Impact of Data Loss in Postprocessing on Training and Inference of Quantum Neural Networks
As quantum hardware scales to larger devices, the classical software layers that interface with it must evolve in step.Fisher Information Dynamics: A Kinematic Framework for Phase Space Ordering with Applications to Shock Layers and Turbulence
Order here denotes the sharpness of probability-density gradients as quantified by Fisher information, distinct from thermodynamic order parameters.Projection-based low-rank assembly in IgA
Isogeometric Analysis (IgA) uses the same spline functions to represent the computational domain and to approximate the solution.EvoGS: Modeling Deformation Evolution for Dynamic Gaussian Splatting
Recent extensions of 3D Gaussian Splatting (3DGS) enable real-time novel view synthesis in dynamic scenes by learning time-conditioned Gaussian deformations.Some explorations of Kirchhoff dynamics
The classical problem of a rigid body in an ideal fluid is a six-dimensional dynamical system with three conserved quantities.OTFS Channel Estimation Utilizing Sparse Bayesian Generative Modelling
One of the key challenges of future wireless communication systems is ensuring reliability in high-speed mobile scenarios, where accurate recovery of channel state information (CSI) is essential.Direct Optimization of a 3D Finite-Source Reflector via Neural-Network Parameterization
We present a direct optimization method for three-dimensional freeform reflectors that transform the light of a finite-étendue source into a prescribed far-field angular intensity distribution.The $α$-Limit Problem: Convergence of a Linear Degenerate Interface Transmission Problem
We study the singular limit of a family of linear degenerate interface transmission problems arising from a regularization procedure in the newly proposed Two-Parameter Diffuse Domain Method (DDM2p).Assessment of Numerical Lift Coefficient Data for a Circular Cylinder with Application to Bladeless Turbines
We assess computed lift coefficient data for flow past a circular cylinder to evaluate their suitability for practical applications.The dynamical role of vortices in the two-dimensional inverse cascade of turbulence
We study the inverse energy cascade of two-dimensional turbulence by means of high-resolution numerical simulations forced at intermediate wavenumbers.Symmetry Inheritance and Symmetry-Reduced Finite Element Analysis for Second-Order Linear Elliptic Problems with Robin Boundary Conditions
A symmetry framework is developed for second-order linear elliptic equations subject to Robin boundary conditions on bounded domains.Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling
Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observed, giving robot simulation and embodied AI a simulation-ready replica of the real…
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