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.
Get the few papers worth your time in Computational Physics every morning.
Follow Computational Physics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 2
SCANO: Restoring Boundary-Condition Completeness in Sampled Meshes with a Sliced-Cross-Attention Neural Operator for 3D Thermal Fields
Training neural operators on million-cell meshes can exceed GPU memory limits.On flow unsteadiness in strongly separated high-speed ramp flows using kinetic and data-driven methods
The gas dynamics of high speed flows over several compression-expansion ramp geometries with large separation regions were investigated using a particle kinetic approach and data driven methods.ConvexAD: differentiable phase retrieval with geometric regularization for high-strain, low-signal Bragg coherent diffraction imaging
Bragg Coherent Diffraction Imaging (BCDI) relies on phase retrieval (PR), a non-convex, ill-posed inverse problem whose conditioning is degraded by factors like noise, partial coherence, and strain…Remap for ALE Hydrodynamics via Direct Interpolation and Constraint Optimization
This work presents an optimization-based remap approach for arbitrary Lagrangian-Eulerian (ALE) hydrodynamics that preserves sharp features and physical bounds while conserving global quantities…Controls on the deformation and reorientation of mafic enclaves during magma mingling: A computational study
Mafic microgranular enclaves in granitic plutons record magma mingling, and their shapes are often interpreted as a record of the flow that deformed them.Quantum simulation of dissipative acoustic and elastic waves by Schrödingerisation: absorbing boundaries and explicit polynomial-size circuits
Explicit quantum circuits for the acoustic and elastic wave equations, obtained by Hamiltonian simulation of their first-order forms, conserve energy and therefore describe closed domains: an…Machine-Learned Interatomic Potential for the Mo-S-Al-O System
We develop a machine-learned neuroevolution potential (NEP) for the Mo-S-Al-O system, targeting MoS$_2$ heteroepitaxy on c-plane sapphire, $α$-Al$_2$O$_3$(0001).Learning the Entropic Relaxation: Stable Coarse-Grid Emulation with Neural Discrete Equilibrium
The ability to emulate complicated and computationally-expensive physical systems in an efficient and stable manner is a popular motivation for scientific machine learning (SciML).Maximal correlation and optimal transformations of probability distributions in tensor-train format: a variational algorithm
The correlation between two subsystems $A$ and $B$ of a many-body system is usually measured through a pair of observables chosen in advance.Site-orbit masked twin-branch Transformer for symmetry-constrained crystal generation
Generative models for crystal structure prediction (CSP) have expanded the search space for novel materials and improved screening efficiency.Computational performance versus numerical accuracy in the acoustic terms of weakly-compressible SPH
Accurate computation of the acoustic terms in weakly-compressible SPH, including the equation of state, its inverse, and the evaluation of the local speed of sound, is essential to ensure energy…Noise-resilient collective order through temporal memory in self-propelled particles
Temporal memory can stabilise collective motion by filtering noisy local observations, but persistent information can also impede adaptation when the collective state changes.Fracture-Bench: A Controlled Benchmark Suite for Machine Learning Surrogates in Phase-Field Fracture Mechanics
Machine-learning surrogates are increasingly proposed to replace phase-field fracture simulations in many-query tasks such as uncertainty quantification, inverse analysis and design.Identifying the Shear Piezoelectric Coefficient using Physics-Informed Neural Networks under Exact Boundary and Initial Constraints
The shear piezoelectric coefficient $e_{15}$ governs the shear-mode electromechanical coupling in piezoelectric micromachined ultrasonic transducers (PMUTs) and surface acoustic wave (SAW) devices…Mercury (Hg): a relativistic $N$-body simulation for Horndeski gravity
We present Mercury, a relativistic $N$-body code for cosmological simulations in the $α$-basis formulation of Horndeski gravity.Variational learning of energy-stable macroscopic flow equations from microscopic laws
We present a generalized variational approach for constructing energy-stable macroscopic partial differential equations (PDEs) directly from microscopic physical laws.Atomistic Insights into MOCVD Growth of GaAs using a Closed Loop Autonomous System Combining Directed Reinforcement Learning and Kinetic Monte Carlo Simulations
Conventional process optimization of the Metal-Organic Chemical Vapor Deposition (MOCVD) growth parameters to achieve high-quality thin films relies on iterative, resource-intensive experimental runs.Pore-scale mechanisms of capillary imbibition in cement-based materials revealed by direct numerical simulations in a realistic FIB-SEM microstructure
Moisture transport in cement-based materials involves transient multiphase flow through highly irregular pore networks, where evolving air--water interfaces strongly influence liquid invasion and…ROSE: Deep Learning exchange-correlation functional from reduced density-matrix representations
We introduce ROSE, a deep-learning exchange--correlation energy functional built from the occupied-state density matrix.Structure-Preserving Full Approximation Scheme for Real-Space Hartree-Fock Equations
We develop a structure-preserving full approximation scheme (FAS) for the real-space restricted Hartree-Fock equations.
More in General & Applied Physics
- Optics
- Fluid Dynamics
- Applied Physics
- Plasma Physics
- Atomic Physics
- Chemical Physics
- Biological Physics
- Medical Physics
- Geophysics
- Data Analysis & Statistics
- Instrumentation & Detectors
- Space Physics
- Chaotic Dynamics
- Exactly Solvable & Integrable Systems
- Pattern Formation & Solitons
- Cellular Automata & Lattice Gases
- Adaptation & Self-Organizing Systems