Latest Research in Model Reduction and Neural Networks
7 research papers · 2026 median publication year
Top Research Topics in Model Reduction and Neural Networks
- Fluid Dynamics — 3 papers
- Model Reduction and Neural Networks — 2 papers
- Soft Condensed Matter — 1 papers
- Quantum Physics — 1 papers
Highest-Cited Papers
- Restarts of bursts in turbulence in a log-minimal channel
- Exact Formulation of Non-equilibrium Energy Cascades in High-Reynolds Turbulence via Rough Operator Algebra (ROA) and Seonggil Matrix Theory
- Physics-Informed Neural Networks for Depth-Averaged Granular Avalanche Dynamics on Curved Topography
- Real Schur Flow Acoustic Directivity and Helicity Effects within
- A Novel Hierarchy of Quantum Kernel Networks on Smoothed Particle Hydrodynamics
- Stochastic Lorenz dynamics and wind reversals in Rayleigh-Bénard Convection
- A Universal Minimax Lower Bound for Causal Lagrangian TrackingFrom empirical flow-family classification to an algorithm-independent impossibility certificate with object-shape-aware tolerance