Latest Research in Model Reduction and Neural Networks

16 research papers · 2026 median publication year

Top Research Topics in Model Reduction and Neural Networks

Highest-Cited Papers

  1. Disentangling 3D Magnetic Field Geometry from Turbulence: A Polarization-Based Classification Method
  2. The shallow--water limit of linear water waves over a discontinuous bottom
  3. Embracing Flow Unsteadiness: A High-Throughput Learning Platform Enables Vortex-Exploiting Bioinspired Propulsion
  4. In-situ 3D Concrete Printing of a Vaulted Ceiling Using a Mobile Robot
  5. A learning-based joint flow and kinematic state estimation for bodies in highly disturbed flows
  6. Surface gravity wave-mean flow interaction with comparable spatial scales. Part I: reduced wave equations
  7. Dynamic Reduced-Order Data Assimilation from Sparse Velocity Measurements
  8. ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows
  9. Transferable reduced order modeling of physical systems via a dilated vector quantized variational autoencoder
  10. Unveiling wing turbulence dynamics through explainable deep learning
  11. Machine‐Learning Enhanced Parametric Reynolds‐Averaged Navier‐Stokes Equations at the Full‐ and Reduced‐Order Levels
  12. Regularity-informed data assimilation: A hierarchical Bayesian approach to ensemble Kalman filtering for hyperbolic conservation laws
  13. Impact resistance and encapsulating protection performance of epoxy resin based composite materials in embedded measurement instrument
  14. Impact energy release and damage effect of fluoropolymer-based reactive projectile against low–slow–small drone
  15. A Strain-Data-Driven Factor-Wise Inverse Identification Approach for Blown-Sand Erosion Parameters of GFRP Strips
  16. Reinforcement-learning control of turbulence transition in the modified Hasegawa-Wakatani system
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L3 Region - - 2026 Sep Q3

Model Reduction and Neural Networks

16 papers

Top Topics (10)

Fluid Dynamics6
Model Reduction and Neural Networks2
Instrumentation and Methods for Astrophysics1
Analysis of PDEs1
Innovations in Concrete and Construction Materials1
Numerical Analysis1
High-Velocity Impact and Material Behavior1
Energetic Materials and Combustion1
Erosion and Abrasive Machining1
Plasma Physics1

Top Publications (16)

1.Disentangling 3D Magnetic Field Geometry from Turbulence: A Polarization-Based Classification Method2.The shallow--water limit of linear water waves over a discontinuous bottom3.Embracing Flow Unsteadiness: A High-Throughput Learning Platform Enables Vortex-Exploiting Bioinspired Propulsion4.In-situ 3D Concrete Printing of a Vaulted Ceiling Using a Mobile Robot5.A learning-based joint flow and kinematic state estimation for bodies in highly disturbed flows6.Surface gravity wave-mean flow interaction with comparable spatial scales. Part I: reduced wave equations7.Dynamic Reduced-Order Data Assimilation from Sparse Velocity Measurements8.ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows9.Transferable reduced order modeling of physical systems via a dilated vector quantized variational autoencoder10.Unveiling wing turbulence dynamics through explainable deep learning11.Machine‐Learning Enhanced Parametric Reynolds‐Averaged Navier‐Stokes Equations at the Full‐ and Reduced‐Order Levels12.Regularity-informed data assimilation: A hierarchical Bayesian approach to ensemble Kalman filtering for hyperbolic conservation laws13.Impact resistance and encapsulating protection performance of epoxy resin based composite materials in embedded measurement instrument14.Impact energy release and damage effect of fluoropolymer-based reactive projectile against low–slow–small drone15.A Strain-Data-Driven Factor-Wise Inverse Identification Approach for Blown-Sand Erosion Parameters of GFRP Strips16.Reinforcement-learning control of turbulence transition in the modified Hasegawa-Wakatani system
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