activity
20022026
most citedTime-series learning of latent-space dynamics for reduced-order model closure

127 citations · 762 across the 47 of their papers we have counts for

collaborators

48 papers

physics.flu-dyn2026

Numerical Study of Compressibility and Velocity Parameter Effects on Spatially Evolving Supersonic Turbulent Shear Layers

M. R. B. Shahadat, Z. Li, F. A. Jaberi +1

Direct Numerical Simulations (DNS) of a spatially developing supersonic turbulent shear layer are conducted for a range of convective Mach numbers () and velocity parameters (…

physics.flu-dyn2025★ 2 cited

Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

Xander de Wit, Alessandro Gabbana, Michael Woodward +3

The dynamics of Lagrangian particles in turbulence play a crucial role in mixing, transport, and dispersion in complex flows. Their trajectories exhibit highly non-trivial statisti…

physics.flu-dyn2025

Lagrangian Attention Tensor Networks for Velocity Gradient Statistical Modeling

Criston Hyett, Yifeng Tian, Michael Woodward +4

Direct numerical simulation of turbulence at realistic Reynolds numbers is still beyond current computational capability, necessitating models that reduce the number of resolved sp…

astro-ph.SR2024

Skeletal Kinetics Reduction for Astrophysical Reaction Networks

A. G. Nouri, Y. Liu, P. Givi +2

A novel methodology is developed to extract accurate skeletal reaction models for nuclear combustion. Local sensitivities of isotope mass fractions with respect to reaction rates a…

astro-ph.HE2024

On a spectral method for -particle bound excitation collisions in kilonovae

Ryan T. Wollaeger, Chris L. Fryer, Robert Chiodi +9

The interaction of -particles with the weakly ionized plasma background is an important mechanism for powering the kilonova transient signal from neutron star mergers. For this…

physics.flu-dyn2023

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…