Latest Research in Model Reduction and Neural Networks
16 research papers · 2026 median publication year
Top Research Topics in Model Reduction and Neural Networks
- Fluid Dynamics — 6 papers
- Model Reduction and Neural Networks — 2 papers
- Instrumentation and Methods for Astrophysics — 1 papers
- Analysis of PDEs — 1 papers
- Innovations in Concrete and Construction Materials — 1 papers
- Numerical Analysis — 1 papers
- High-Velocity Impact and Material Behavior — 1 papers
- Energetic Materials and Combustion — 1 papers
- Erosion and Abrasive Machining — 1 papers
- Plasma Physics — 1 papers
Highest-Cited Papers
- Disentangling 3D Magnetic Field Geometry from Turbulence: A Polarization-Based Classification Method
- The shallow--water limit of linear water waves over a discontinuous bottom
- Embracing Flow Unsteadiness: A High-Throughput Learning Platform Enables Vortex-Exploiting Bioinspired Propulsion
- In-situ 3D Concrete Printing of a Vaulted Ceiling Using a Mobile Robot
- A learning-based joint flow and kinematic state estimation for bodies in highly disturbed flows
- Surface gravity wave-mean flow interaction with comparable spatial scales. Part I: reduced wave equations
- Dynamic Reduced-Order Data Assimilation from Sparse Velocity Measurements
- ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows
- Transferable reduced order modeling of physical systems via a dilated vector quantized variational autoencoder
- Unveiling wing turbulence dynamics through explainable deep learning
- Machine‐Learning Enhanced Parametric Reynolds‐Averaged Navier‐Stokes Equations at the Full‐ and Reduced‐Order Levels
- Regularity-informed data assimilation: A hierarchical Bayesian approach to ensemble Kalman filtering for hyperbolic conservation laws
- Impact resistance and encapsulating protection performance of epoxy resin based composite materials in embedded measurement instrument
- Impact energy release and damage effect of fluoropolymer-based reactive projectile against low–slow–small drone
- A Strain-Data-Driven Factor-Wise Inverse Identification Approach for Blown-Sand Erosion Parameters of GFRP Strips
- Reinforcement-learning control of turbulence transition in the modified Hasegawa-Wakatani system