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 3
Efficient Interpolation of the Bethe-Salpeter Hamiltonian at Arbitrary Momenta
We develop an efficient reciprocal-space method to reconstruct the static Bethe-Salpeter (BSE) Hamiltonian at arbitrary crystal momenta from coarse first-principles grids.Optimally Weighted Constrained Shadow Tomography for Reduced Density Matrices
Accurate measurement of reduced density matrices (RDMs) is central to quantum simulations of many-fermion systems, but the required measurement resources remain a significant challenge.Quantum HHL Algorithm for Solving 1D Linear Advection Equation Using Explicit and Implicit Finite Difference Schemes
This study develops and implements a Harrow-Hassidim-Lloyd (HHL) quantum algorithm for solving a one-dimensional linear advection equation with periodic boundary conditions.Machine Learning-Enabled Time-Skipping Method: Theory and Perturbation-Based Verification
Simulating the time evolution of practical mechanics problems requires many time steps.Feature-preserving interface reconstruction using piecewise circles and cusps
We present a geometric interface reconstruction method for Volume-of-Fluid (VOF) simulations that captures both curved interfaces and sharp features using only volume fraction data.Characterization of Phase Transitions with the Annealed Importance Sampling Algorithm
We We explore the use of the Annealed Importance Sampling (AIS) algorithm as a numerical tool to study phase transitions and critical phenomena.A Hybrid Message-Passing and Electric-Field Representation for Electrostatic QM/MM Embedding with Machine Learning Interatomic Potentials
Within a hybrid quantum mechanics/molecular mechanics approach a small region of a large atomistic system is described quantum mechanically, while the rest of the system is represented by a…AMPERe: an exactly divergence-free quadrature-by-expansion evaluator for near-surface Biot--Savart and virtual-casing fields in fusion geometries
Accurate magnetic-field evaluation on and near current-carrying surfaces is a recurring computational bottleneck in magnetic-confinement fusion.A variational phase-field theory of cohesive fracture at finite deformation
This paper formulates a kinematically and variationally consistent phase-field theory for cohesive fracture at finite deformation.High-fidelity simulation and reduced-order modeling of optical pumping in quantum devices
Spatially resolved modeling of optically pumped alkali-metal vapors requires the solution of a high-dimensional nonlinear diffusive quantum master equation (DQME) coupled to state-dependent light…Query-Efficient Quantum Multi-Objective Optimization for Materials Configuration Search via Bayesian Weight Selection
Materials design is a multi-objective problem, and recent advances in quantum optimization make it possible to bring quantum solvers to bear on such problems.A Momentum-weighted Interface Stabilization Approach for Fluid-Structure Interaction with Strong Added-Mass Effects
Partitioned fluid-structure interaction (FSI) schemes permit the reuse of optimized standalone solvers but can become unstable under strong fluid added-mass effects, particularly when structural…Transient subtraction method: An alternative approach for variance reduction in dissipative particle dynamics
The efficient and accurate computation of transport coefficients remains a numerical challenge in dissipative particle dynamics (DPD), which can require substantial sampling to control statistical…A geometry-aware framework for electromagnetic fields in GATE 10
An increasing number of medical-physics applications require the modelling of charged-particle transport in electromagnetic (EM) fields.PhysicsNeMo-Mesh: GPU-Native Meshes and Simulation Cases for Physics AI
PhysicsNeMo-Mesh is the mesh module of the open-source PhysicsNeMo library.Data Driven Modeling of a Magnetic Newton's Cradle using the Optimization of a Discrete Loss
We investigate the dynamics of a magnetic Newton's cradle (MNC) using experiments, simulations through forward and inverse data driven models.virasoro_blocks: Software for the 2d bootstrap
We introduce virasoro_blocks, software that computes Virasoro conformal blocks at any central charge in a form suitable for the numerical bootstrap.Ten-loop fixed-dimension renormalization-group functions of the three-dimensional O(N) model from distributed GPU-accelerated parametric integration
The renormalization-group functions $β$, $η$ and $ν$ of the three-dimensional $O(N)$ model in fixed dimension (massive zero-momentum scheme) were known to eighth order in the coupling.Distilling Large-Scale Machine Learning Interatomic Potentials to Predict Long-Timescale Electrolyte Transport Properties
Accurately predicting the transport properties of liquid electrolytes is critical for next-generation battery design and requires force fields that are both quantum-mechanically accurate and fast…Hidden Phase Transition in Single-Polymer Stretching under Elongational Flow
Using machine learning, we identify a second transition in polymer chain stretching driven by planar elongational flow, beyond the well-known coil-stretch transition.
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