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 8
A Contrast-Source Inversion Scheme Based on Stochastic Optimization and Plug-and-Play Regularization
An electromagnetic inversion scheme that integrates stochastic optimization (STO) and plug-and-play (PNP) regularization into contrast-source inversion (CSI), termed STO-PNP-CSI, is developed.AI Agents as a Research Team: A Human-Supervised Case Study in Stellar Spectroscopy
We present a qualitative case study of a human-supervised team of specialized AI agents supporting an astronomy research project.CrystalJev: thinking fast and slow with atomistic foundation models for materials discovery
Atomistic foundation models triage millions of hypothetical materials but are used as slow simulators, their thresholded energies taken at face value.A differentiable Lagrangian-coupled 3D Gaussian Splatting-SPH model for forward simulation and inverse analysis in solid mechanics
Recent advances in generative world models have increased interest in digital models that reproduce both the appearance of real objects and their response to physical interaction.Recursive Improvement of a Differentiable Scientific Software Ecosystem
Differentiable programming connects scientific computation with gradient-based inference, learning and design.Explainable Molecular Structure Inference from GC--MS with Diffusion Models and LLM Reranking
GC--EI--MS is an important technique for analyzing volatile and semivolatile compounds in complex samples.The ALPS project release 3.0: open source software for strongly correlated systems
We present release 3.0 of the ALPS (Algorithms and Libraries for Physics Simulations) project, an open-source software project to develop libraries and application programs for the simulation of…Accelerated search for global extrema in structured quantum signals
Extreme values of a physical system are rare by definition, yet they can govern some of its most consequential and anomalous behavior.BranchIP: Learning Adaptive Equivariant Computation for Interatomic Potentials
Equivariant machine learning interatomic potentials (MLIPs) have revolutionized atomistic modeling, but accurate treatment of complex materials and molecular systems demands expensive models.Computing electron overlap integrals for Gausslet orbitals on cubic lattices
Gausslet orbitals on a cubic lattice, introduced in [Steven R. White, J. Chem.Riemannian Flow Models with Reinforcement Learning for Molecular Crystal Structure Prediction
Crystal structure governs material properties, making crystal structure prediction (CSP) a fundamental problem in materials science.Smart Machine Learning for Solving the Full Electron-Nuclear Schrödinger Equation with a Quantum-Chemically Inspired Wavefunction Ansatz
Directly solving the full electron-nuclear Schrödinger equation remains one of the grand challenges in quantum mechanics.Efficient Calculation of Equilibrium Correlation Functions
A majority of measurable dynamic quantities of a physical system is described as an equilibrium correlation function of the form $G_{AB}(t-t') = \left $, where $t'$ represents the impact time and…PDE-OBS: Controlled Evaluation Across Observation Patterns
Physical-field reconstruction and forecasting depend on both measurement density and spatial layout, yet evaluation under a single observation pattern does not characterize performance when that…SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference
Recovering complete physical fields from sparse observations is challenging because the measurements may not uniquely determine the underlying state.PHASE: Multi-Regime Modeling of Incompressible Magnetohydrodynamics
Magnetohydrodynamics (MHD) is central to plasma modeling in astrophysics, space science, fusion, and engineering, but resolving multiscale MHD dynamics is computationally expensive.A shape-similarity latent space for fluid interfaces: invertible reduced-order modelling of droplet morphology
A droplet breaks up in tens of microseconds, and a recording captures perhaps a dozen frames.A foundation model for energy and radiation systems built on heterogeneous scientific interfaces
Scientific foundation models are commonly evaluated after heterogeneous physical problems have already been translated into a compatible gridded, tokenized or symbolic representation.Neural topology optimization of ship structures under propulsion machinery vibrations
Ship structural vibrations contribute to noise, fatigue, and equipment damage, while dynamic-compliance topology optimization can produce pathological designs near resonance.SHIFT-Truck: A High-Fidelity Aerodynamics Dataset and Benchmark for Pickup Trucks
Pickup trucks account for 14% of new light-duty vehicles produced in the United States, yet are among the least aerodynamic.
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