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 4
Transformer-inspired architectures make machine-learned electron densities accurate and transferable enough to bypass self-consistency
We introduce machine learning models that accurately predict the electron density, the central variable of density functional theory.Optimization of curved vortex generator geometry for enhanced thermal performance in water-to-air finned-tube heat exchanger
In the study, the geometry of curved rectangular vortex generators (RVG) has been optimized to enhance heat transfer and overall performance of the analyzed water-to-air finned-tube heat exchanger…RAKI: High-Order Alternative Finite Differences for General Relativistic Magnetohydrodynamics
Binary neutron star (BNS) and black hole--neutron star mergers are among the most important multimessenger sources.Excitons in solid molecular hydrogen from quantum Monte Carlo
We use quantum Monte Carlo (QMC) methods to investigate the lowest neutral excitation of solid molecular hydrogen in phase-I under increasing compression, with emphasis on structural and response…Static Response of the Strongly Coupled Electron Gas from Diffusion Monte Carlo
The local field factor $G(q)$ of the HEG describes how exchange and correlation modify the response to a static perturbation, and enters dielectric screening, effective electron--electron…Adiabatic Variational Principle: Born-Oppenheimer Theory for Emergent Electronic-Order Dynamics
Recent advances in microscopic many-body methods have enabled increasingly accurate descriptions of equilibrium quantum states, yet large-scale simulations of emergent-order dynamics typically rely…Wave Turbulence of Capillary Waves in Finite Systems
We consider classical problem of turbulence of capillary waves.A Gaussian-Process Surrogate for Control Rod Worth with Calibrated Uncertainty: Application to VERA Core Physics Benchmark Problem 4
Differential and integral control rod worth are usually obtained by differencing eigenvalue calculations at discrete rod positions, which resolves the derivative poorly and gives it no uncertainty.Electric field control of anisotropic spin traffic between spin-filtering and magnon-scattering in a layered antiferromagnet
Layered A-type antiferromagnetic (AFM) semiconductors offer a unique platform for spintronic devices by combining robust magnetism with gate-tunable semiconducting properties.ML-COHP: predicting bond descriptors using latent space of a universal interatomic potentials
The integrated crystal orbital Hamilton population (ICOHP) is the standard measure of bond strength in a DFT calculation, but every structure needs its own DFT single point and LOBSTER projection…Predicting Weight Windows for Duct-Streaming Shielding Geometries with a Convolutional Neural Network
Forward-flux-based weight windows give global variance reduction for duct-streaming shielding problems, but each new geometry needs an iterative Monte Carlo calculation to build them.Single-Temperature Ranked Greedy Cluster Exchange for Max-Cut on Two-Dimensional Tori
Ground-state search in two-dimensional Ising spin glasses on large toroidal lattices remains challenging for local-update heuristics because rugged energy barriers impede relaxation across…NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations
We introduce NEOPIC, a framework for learning the field operator in particle-based methods applied to kinetic plasma simulations.Generalizing Density Functional Theory with a Particle-Hole Expansion
Strong electron correlation remains difficult to describe within conventional density functional approximations, particularly when natural-orbital occupations become strongly fractional.FLUCS: a modular GPU-native framework for fluid and plasma turbulence
We present FLUCS, an open-source framework for solving systems of partial differential equations efficiently on graphics processing units (GPUs), targeting models of fluid and plasma turbulence.Benchmarking One-Dimensional Quantum Lattice Boltzmann Methods on Quantum Hardware
Classical computational fluid dynamics (CFD) methods encounter significant computational bottlenecks in large systems and at high Reynolds number flows due to the rapid increase in degrees of…A $θ$-implicit hybrid particle-in-cell algorithm for kinetic simulations of magnetized plasmas
Hybrid particle-in-cell (PIC) models with kinetic ions and an inertialess electron fluid are widely used to simulate magnetized plasmas at ion scales, but explicit time advances are constrained by…Exploring Fractional Quantum Hall States with Deep Learning: From Abelian to Non-Abelian Phases
Fractional quantum Hall systems host strongly correlated topological phases with potential applications in topological quantum computation, yet identifying their microscopic ground states remains…Differentiable Schwarz-Coupled Solvers for Thin Boundary Layer Transport: Inverse Modeling via Agentic AI Optimization
High-Péclet-number transport problems give rise to thin boundary layers with steep near-wall gradients whose accurate solution requires high-resolution meshes and could challenge inverse modeling.Dual Area-Volume-of-Fluid (DAVOF): co-advecting volume and face-area fractions for a closed-form, cell-local interface normal and position on unstructured meshes
Geometric Volume-of-Fluid (VOF) on unstructured polyhedral meshes reconstructs the interface orientation from the volume fractions of a stencil of neighbours; on irregular cells and in the presence…
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