1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Physics-Informed Koopman Network
Yuying Liu, Aleksei Sholokhov, Hassan Mansour +1
Koopman operator theory is receiving increased attention due to its promise to linearize nonlinear dynamics. Neural networks that are developed to represent Koopman operators have…
cs.LG2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Yangchen Pan, Amir-massoud Farahmand, Martha White +3
Recent work has shown that reinforcement learning (RL) is a promising approach to control dynamical systems described by partial differential equations (PDE). This paper shows how…
physics.flu-dyn2018
Reduced-order modeling of fully turbulent buoyancy-driven flows using the Green's function method
M. A. Khodkar, Pedram Hassanzadeh, Saleh Nabi +1
A One-Dimensional (1D) Reduced-Order Model (ROM) has been developed for a 3D Rayleigh-Bénard convection system in the turbulent regime with Rayleigh number . The…