Rans
PulseAugur coverage of Rans — every cluster mentioning Rans across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New ADEx-FNO framework unifies Fourier Neural Operators for complex geometries
Researchers have introduced ADEx-FNO, a novel framework designed to enhance Fourier Neural Operators (FNOs) for applications involving complex and varying geometries. This method embeds physical domains within a fixed a…
-
FedCritic-MIMO framework enhances 6G network resource control via federated learning · 2 sources tracked
Researchers have developed FedCritic-MIMO, a novel framework for communication-efficient federated learning in 6G networks. This system enables cell-level controllers to manage resources like user scheduling and power a…
-
New AI method optimizes airfoil shapes, cutting simulation costs
Researchers have developed a new method for optimizing airfoil shapes in fluid dynamics simulations. This approach uses a multi-fidelity surrogate learning framework that combines low-fidelity XFOIL evaluations with ada…
-
Deep Learning Model Enhances Turbulence Simulation Accuracy
Researchers have developed a novel deep learning model called DARSM (Deep Algebraic Reynolds Stress Model) to improve the accuracy of RANS simulations for turbulent flows. This model integrates physics-based structures …
-
LLMs achieve real-time text transmission via entropy coding
Researchers have explored the connection between learning, prediction, and compression for real-time text transmission using LLM-based entropy coding. They analyzed the trade-off between compression efficiency and trans…
-
Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD
Researchers have developed a new graph-based neural operator called the Gauge-Invariant Spectral Transformer (GIST) designed to accelerate aerodynamic simulations for motorsport design. This model is trained on a high-f…