Latest Research in Machine Learning
10 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Fluid Dynamics — 3 papers
- Model Reduction and Neural Networks — 2 papers
- Machine Learning — 1 papers
- Ocean Waves and Remote Sensing — 1 papers
- Numerical Analysis — 1 papers
- Computational Fluid Dynamics and Aerodynamics — 1 papers
- Plasma and Flow Control in Aerodynamics — 1 papers
Highest-Cited Papers
- Momentum-scalar coupled turbulence with anomalous momentum and scalar diffusions. Part 1: Without external force and with long-range external force
- Scalable physics-embedded graph neural networks for million-node thermal-fluid digital twins of converter transformers
- Transport fidelity and domain of validity of compact Gaussian kinetic representations for rarefied flows
- Solution-space heterogeneity shapes federated learning dynamics across partial differential equations
- Physics-informed neural network amplitude and phase modeling of steady-state thermal waves in layered structures
- A distinguished-limit Gardner–Kawahara model for internal-wave–forced near-critical gravity–capillary ripples and Wilton-type spectra
- An Unconditionally Stable Explicit Robin-Robin Partitioned Scheme for Fluid-Structure Interaction
- Assessment of a Posteriori Positivity-Preserving Limiters for a Modal Discontinuous Galerkin Method Applied to Multicomponent Flows
- Design and Performance Study of an Ultrasonic Synthetic Jet Piezoelectric Pump Based on Multi-Level Structural Optimization
- Propagating fronts of convection rolls in Rayleigh-Bénard convection