28 citations · 71 across the 19 of their papers we have counts for
4 papers · 1 filter
Optimal control of PDEs using physics-informed neural networks
Saviz Mowlavi, Saleh Nabi
Physics-informed neural networks (PINNs) have recently become a popular method for solving forward and inverse problems governed by partial differential equations (PDEs). By incorp…
Detecting Lagrangian coherent structures from sparse and noisy trajectory data
Saviz Mowlavi, Mattia Serra, Enrico Maiorino +1
Many complex flows such as those arising from ocean plastics in geophysics or moving cells in biology are characterized by sparse and noisy trajectory datasets. We introduce techni…
Interplay between hysteresis and nonlocality during onset and arrest of flow in granular materials
Saviz Mowlavi, Ken Kamrin
The jamming transition in granular materials is well-known for exhibiting hysteresis, wherein the level of shear stress required to trigger flow is larger than that below which flo…
Reduced model for capillary breakup with thermal gradients: Predictions and computational validation
Isha Shukla, Fan Wang, Saviz Mowlavi +4
It was recently demonstrated that feeding a silicon-in-silica coaxial fibre into a flameimparting a steep silica viscosity gradientresults in the formatio…