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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A componentwise spherical Dirichlet-to-Neumann closure for finite-volume MHD at finite magnetic Reynolds number
At finite magnetic Reynolds number, the field induced by a moving conducting fluid or solid extends into open space, so a finite mesh needs an outer boundary condition that represents the decaying…Energy-conserving scheme for a shallow-water model with capillary effects
We consider numerical approximations of shallow-water and thin-film flow models with capillary effects.Projection-based segregated, iterative, and multi-stage physics-informed neural network for incompressible Navier-stokes equations
Physics-informed neural networks(PINNs) offer a mesh-free and continuously differentiable approach to fluid simulation.Simulation of Refraction Through Voxel Volumes
Ray tracing in X-ray science has typically been limited to descriptions where refraction occurs only at interfaces, ignoring the refraction occurring due to the continuous variations in index of…Equivariant Deep Learning in Direct-Product Space for Electronic-Structure Hamiltonian Prediction
Most existing equivariant architectures for Hamiltonian prediction propagate features in direct-sum spaces of irreducible spherical tensors, whereas the target Hamiltonian is naturally an operator…Continuous Space-Time Finite Element Simulations for Biomedical Flows with Large Boundary Motion and Time-Periodicity
We present an axisymmetric continuous simplex space-time finite element method for incompressible fluid flow.A Study of Side Jet Interactions over a Hypersonic Cone Flow using Kinetic Methods
The interaction between the hypersonic flow over a cone and a side jet creates complex multiple recirculation regions as well as separation, reattachment and bow shocks known as Edney-Type IV…Quantifying the remaining search space in analogue optimisation
Benchmarking analogue optimisers requires certifying not only how close a returned energy is to the optimum, but also how many better configurations may remain.Winding-Pack Quench Simulation of Stellarator Coils: Hydraulic Field-Network Coupling and Transverse Heat Conduction in OPENSC$^2$
Quench propagation in cable-in-conduit conductors is thermo-hydraulically driven, yet existing 1D models treat a conductor as one straight adiabatic cable with prescribed pressure and mass-flow…Hydrodynamic interaction in Lattice Fokker Planck for dilute polymer dynamics
We extend the BGK-type kinetic model for polymer dumbbells and its lattice Boltzmann implementation by incorporating hydrodynamic interaction (HI) effects to accurately recover the slow-variable…A physics-based-preconditioned quasi-Newton solver for energy- and momentum-conserving implicit hybrid particle-in-cell simulations
Explicit hybrid particle-in-cell (PIC) schemes, with kinetic ions and fluid electrons, accumulate numerical heating over long simulations and are unstable to finite-grid instabilities.Discovering like a scientist: Literature-informed dimensionless learning for physical closure of data-driven equations
Data-driven methods can recover compact equations, yet the physical dependence of their coefficients across operating conditions often remains unresolved.A coupled lattice Boltzmann model for pore-scale mushy-layer dynamics with application to sea ice
A pore-scale lattice Boltzmann model is developed for reactive transport in phase-changing porous media, coupling solute transport in the liquid with conjugate heat transfer across the solid and…Energy-Guided Transport for Projection-Free Physics-Informed Flow Matching
Deep generative models, particularly Flow Matching frameworks, have emerged as powerful tools for synthesizing complex physical systems.Quantum Spin Wave Theory with Multi-Spin Interactions for Magnetic Materials Modeling
In the field of magnetism within condensed matter physics, magnetic systems are microscopically described by a spin Hamiltonian.A hierarchy of physics-embedded neural operators for structural dynamic surrogate modelingA hierarchy of physics-embedded neural operators for structural dynamic surrogate modeling
Structural-response surrogates must capture moving resonances, phase changes, and unequal-amplitude transfer channels during optimization or health-state changes.Field-aligned measurement removes the anisotropy barrier of sample-based quantum subspace solvers for magnetized-plasma heat conduction
Sample-based quantum subspace methods construct a small subspace from measured basis states and solve the target problem classically within it.Improving the accuracy of the momentum-exchange method in lattice Boltzmann methods
In the lattice Boltzmann method (LBM), the momentum-exchange method (MEM) is widely used to evaluate hydrodynamic forces at fluid-solid interfaces due to its computational efficiency and geometric…The lattice Boltzmann machine
The lattice Boltzmann (LB) method is widely regarded as a very flexible and efficient solver for a broad class of transport phenomena in fluids, soft matter and related fields.The shear Alfvén continuum of optimized stellarators
The shear Alfvén continuum has been studied extensively in tokamaks, but its gap structure in modern optimized stellarators has received less attention, despite its importance for energetic-particle…
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