39 citations · 96 across the 5 of their papers we have counts for
5 papers
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev +2
Deep learning-based object detection is a powerful approach for detecting faulty insulators in power lines. This involves training an object detection model from scratch, or fine t…
Neural tangent kernel analysis of PINN for advection-diffusion equation
M. H. Saadat, B. Gjorgiev, L. Das +1
Physics-informed neural networks (PINNs) numerically approximate the solution of a partial differential equation (PDE) by incorporating the residual of the PDE along with its initi…
Extended Lattice Boltzmann Model for Gas Dynamics
M. H. Saadat, S. A. Hosseini, B. Dorschner +1
We propose a two-population lattice Boltzmann model on standard lattices for the simulation of compressible flows. The model is fully on-lattice and uses the single relaxation time…
Extended Lattice Boltzmann Model
M. H. Saadat, B. Dorschner, I. V. Karlin
Conventional lattice Boltzmann models for the simulation of fluid dynamics are restricted by an error in the stress tensor that is negligible only for vanishing flow velocity and a…
Arbitrary Lagrangian-Eulerian formulation of lattice Boltzmann model for compressible flows on unstructured moving meshes
Mohammad Hossein Saadat, Ilya V. Karlin
We propose the application of the arbitrary Lagrangian-Eulerian (ALE) technique to a compressible lattice Boltzmann model for the simulation of moving boundary problems on unstruct…