Computational physics
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- pcNN-SN: a physics-enhanced predictor-corrector neural network algorithm coupled with the discrete ordinates method for neutron transport equations
- Iterative Neural Variational Solver of Committor Function in Under-damped Langevin Dynamics
- Thermodynamically Consistent Machine Learning for Fracture Prediction in Heterogeneous Materials
- Physics-informed Kolmogorov-Arnold networks (PIKANs) for noise-robust reconstruction of boiling heat flux from infrared measurements
- AeroProp-X: An Open-Source, Self-Verifying Method-of-Characteristics Toolkit for Edge-Capable Rocket Nozzle Design and Aerothermodynamic Analysis
- A Boson-informed neural network for Ground States of Many-Body Schrödinger equations
- SIREN: A nonlinear Rankine-source boundary element solver for the stationary motion of a marine vehicle in calm water
- Omnisolver: An extensible interface to Ising spin-glass and QUBO solvers: adding a distributed GPU brute-force plugin
- Harnessing Measurement Error as a Thermodynamic Resource in Two-Reservoir Information Engines
- Efficient, Geometry-only Prediction of Advection-dominated Particle Transport through Saturated Soils
- Measuring Diversity and Segregation with Convex Functions
- A Polynomial-Scaling PDE Solver with Entanglement-Basis Tensor Networks
- Developing Multi-Dimensional, Sequential sWeighting Routines for Reaction Selection with Emphasis on Kaon Identification at CLAS12
- Feature tracking in physics-informed neural networks via joint optimization of nonlinear deformation manifolds: application to shocks
- A Generalized Source Integral Equation for Homogeneous Penetrable Scatterers
- SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference
- Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts
- BranchIP: Learning Adaptive Equivariant Computation for Interatomic Potentials
- Towards 3D fully randomized frequency-domain reconstruction of the speed of sound in breast ultrasound computed tomography
- RFBniCS: An open-source simulation framework for redox flow batteries
- No Model Required: Text Entropy Rate Filtering Mitigates Iterative Fine-Tuning Collapse
- Electromagnetic drift-kinetic particle-in-cell model with energy and charge conservation for studying finite-β plasmas
- An S-matrix Formalism for the Nonclassical Optical Response of Plasmonic Nanowires
- Automated Many-Body Simulations of Strongly Correlated Systems Using a Correlation-Aware Agentic Framework
- From Energy-Force Weighting to Primal-Dual Optimization of Machine-Learned Interatomic Potentials