5 citations · 5 across the 3 of their papers we have counts for
3 papers
Frame invariance and scalability of neural operators for partial differential equations
Muhammad I. Zafar, Jiequn Han, Xu-Hui Zhou +1
Partial differential equations (PDEs) play a dominant role in the mathematical modeling of many complex dynamical processes. Solving these PDEs often requires prohibitively high co…
Recurrent Neural Network for End-to-End Modeling of Laminar-Turbulent Transition
Muhammad I. Zafar, Meelan M. Choudhari, Pedro Paredes +1
Accurate prediction of laminar-turbulent transition is a critical element of computational fluid dynamics simulations for aerodynamic design across multiple flow regimes. Tradition…
Convolutional Neural Network for Transition Modeling Based on Linear Stability Theory
Muhammad I. Zafar, Heng Xiao, Meelan M. Choudhari +4
Transition prediction is an important aspect of aerodynamic design because of its impact on skin friction and potential coupling with flow separation characteristics. Traditionally…