14 citations · 14 across the 6 of their papers we have counts for
3 papers · 1 filter
Learning turbulent transport via Mori--Zwanzig graph neural networks
André Freitas, Xander M. de Wit, Alessandro Gabbana +4
We introduce a Mori--Zwanzig graph neural network (MZ--GNN) framework for learning reduced-order Lagrangian dynamics of tracer particles in homogeneous isotropic turbulence. The mo…
Mori-Zwanzig mode decomposition: Comparison with time-delay embeddings
Michael Woodward, Yen Ting Lin, Yifeng Tian +3
We introduce the Mori-Zwanzig Mode Decomposition (MZMD), a novel data-driven technique for efficient modal analysis of and reduced-order modeling of large-scale spatio-temporal dyn…
Data Driven Learning of Mori-Zwanzig Operators for Isotropic Turbulence
Yifeng Tian, Yen Ting Lin, Marian Anghel +1
Developing reduced-order models for turbulent flows, which contain dynamics over a wide range of scales, is an extremely challenging problem. In statistical mechanics, the Mori-Zwa…