activity
20132026
most citedDefining Coherent Vortices Objectively from the Vorticity

336 citations · 1.5k across the 38 of their papers we have counts for

collaborators

42 papers

math.DS2026

Slow Manifold Reduction for Inertial Particles with Quadratic Drag

Mathew Angel, Mohammad Farazmand

We consider the dynamics of inertial particles in unsteady fluid flows. At low Reynolds numbers, where the drag force is linear in the relative velocity, it is well-known that the…

physics.flu-dyn2024★ 1 cited

Extreme firebrand transport by atmospheric waves in wildfires

Mohammad Farazmand

In wildfires, burning pieces of ember-firebrands-are carried downstream by wind. At the time of landing, these firebrands can start secondary fires far away from the main burning u…

q-bio.PE2023★ 10 cited

Modeling correlated uncertainties in stochastic compartmental models

Konstantinos Mamis, Mohammad Farazmand

We consider compartmental models of communicable disease with uncertain contact rates. Stochastic fluctuations are often added to the contact rate to account for uncertainties. Whi…

math.DS2023★ 1 cited

Fisher information and shape-morphing modes for solving the Fokker-Planck equation in higher dimensions

William Anderson, Mohammad Farazmand

The Fokker-Planck equation describes the evolution of the probability density associated with a stochastic differential equation. As the dimension of the system grows, solving this…

physics.flu-dyn2022★ 20 cited

Tensor-based flow reconstruction from optimally located sensor measurements

Mohammad Farazmand, Arvind K. Saibaba

Reconstructing high-resolution flow fields from sparse measurements is a major challenge in fluid dynamics. Existing methods often vectorize the flow by stacking different spatial…

math.DS2022

Fast and scalable computation of shape-morphing nonlinear solutions with application to evolutional neural networks

William Anderson, Mohammad Farazmand

We develop fast and scalable methods for computing reduced-order nonlinear solutions (RONS). RONS was recently proposed as a framework for reduced-order modeling of time-dependent…