Recent advances on machine learning for computational fluid dynamics: A survey

H Wang, Y Cao, Z Huang, Y Liu, P Hu, X Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper explores the recent advancements in enhancing Computational Fluid Dynamics
(CFD) tasks through Machine Learning (ML) techniques. We begin by introducing …

Injective flows for star-like manifolds

MM Negri, J Aellen, V Roth - arxiv preprint arxiv:2406.09116, 2024 - arxiv.org
Normalizing Flows (NFs) are powerful and efficient models for density estimation. When
modeling densities on manifolds, NFs can be generalized to injective flows but the Jacobian …

[PDF][PDF] Mass conservative neural networks

F Arend Torres - 2024 - edoc.unibas.ch
Neural networks have established themselves as a powerful tool for extracting insights from
vast amounts of data. However, with increasing use of deep learning in the natural sciences …