Latest Research in Machine Learning
9 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Fluid Dynamics — 3 papers
- Machine Learning — 3 papers
- Numerical Analysis — 2 papers
- Fluid Dynamics and Turbulent Flows — 1 papers
Highest-Cited Papers
- Radius-dependent looseness of the far-field Calderón–Zygmund bound in turbulent vortex stretching
- A derivative-free framework for capturing macroscopic behavior of incompressible turbulent flows
- Bayesian neural network correction of RANS turbulence models with uncertainty quantification in separated flows
- Attention Is All You Need (to Avoid Spurious Oscillations)
- Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders
- Continuous data assimilation in steady Navier-Stokes equations with unknown viscosity: robust and efficient solvers and fast parameter recovery
- Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems
- Information-Preserving SGS model based on the local inter-scale equilibrium hypothesis
- Wasserstein Moment Nudging for Vlasov-Poisson Data Assimilation