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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Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning
Studying the dynamical behavior of a system often depends on characterizing how it transitions between long-lived states.How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?
Pretraining a neural PDE surrogate can reduce the amount of new CFD data needed when geometry or modeled physics changes.Double descent is the principle of least action
The test error of a model plotted against its number of parameters $d$ falls, peaks when the model can just fit the training data, and falls again, exhibiting the double descent phenomenon.Gradient-estimator design overcomes trainability barriers in neural-network-based variational optimization
Neural networks provide expressive representations for scientific computing.Recovering Governing Dynamics from Distributed Observations via Exact Spline Merging
Scientific observations are frequently distributed across locations, time periods, and institutions.Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applications
This is the set of lecture notes for the PhD course \href{https://www.unibz.it/en/faculties/engineering/phd-computer-science/study-course-offering/2025/36967}{\textit{Physics Informed Neural…Machine learning kinetics from molecular dynamics data
Most molecular transitions occur on timescales far beyond direct molecular dynamics simulations.Partitioned Co-Simulation for CAD-integrated Vibroacoustic Problems in Unbounded Domains
Vibroacoustic analysis often requires coupling structural and acoustic solvers based on different numerical formulations and discretizations, making monolithic implementations intrusive and limiting…A Non-intrusive Approach for the Imposition of Strong Dirichlet Boundary Conditions in Unfitted Boundary Meshes
The enforcement of essential boundary conditions is a fundamental challenge in unfitted boundary methods.Single-condition neural solvers encode transferable response spaces for parametric differential equations
Operator learning for parametric partial differential equations (PDEs) typically builds global models over prescribed domains, requiring cross-condition data or costly physics-constrained training.Improving Reduced-Order Rotating Detonation Engine Models with Data Assimilation and Machine Learning
Rotating detonation engines (RDEs) exhibit strongly nonlinear, multiscale wave dynamics that set the observed thermal field.Neural Modal Decomposition: Architectural Priors from Observables
Many engineering building blocks behave as multi-port linear time-invariant systems.Transformed in Translation: Two-Stage Structural Uncertainty in LLM-Based Scientific Autoformalization
Scientific autoformalization turns verbal accounts into executable mathematics, but executable code does not settle which model has been constructed.A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator
To enable flexible and rapid aerodynamic performance evaluation in turbomachinery design, this paper proposes a panoramic performance prediction framework.Benchmarking Optimizers to Solve Inverse Problems with Differentiable Physics Simulators
Solving inverse problems with differentiable physics simulators holds the potential to revolutionize scientific discovery and engineering design, as it enjoys both the strict physical correctness…Physics-enriched neural solvers for transient ice-flow simulation
Transient glacier simulations with higher-order ice flow require the repeated solution of a nonlinear problem as the geometry evolves.Symmetry- and Property-Aware Crystal Generation with Reinforcement Learning for Inverse Materials Design
The inverse design of crystalline materials ultimately seeks structures with desired physical properties.A Two-Mirror Faceted Projection System for EUV Lithography
We propose an all-reflective two-mirror projection system for extreme ultraviolet (EUV) lithography operating at exposure wavelengths of $13.5$~nm (Mo/Si) and $11.2$~nm (Ru/Be), delivering a…Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts
Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation.Optimal regularity for vectorial, higher order and non-minimizing Bernoulli problems
We prove the Lipschitz regularity of solutions for a wide class of generalized Bernoulli free boundary problems, in vectorial, higher order, and non-minimizing settings.
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