30 citations · 38 across the 5 of their papers we have counts for
5 papers
Neural-Network and Reduced-order Modeling Workflows for AI-Driven CFD: Fast Response Surfaces, Reduced Dynamics and Jet in Cross-flow Examples
Kaku E. Eduku, Pavel P. Popov, Gustaaf Jacobs
Highly resolved computational fluid dynamics (CFD) simulations are essential for design but too expensive for dense design-space sampling. This chapter presents an AI-driven CFD wo…
A Synthetic Modal Generation of Additive Manufacturing Roughness Surfaces from Images
T. B. Keesom, P. P. Popov, P. Dhyani +1
A method to infer and synthetically extrapolate roughness fields from electron microscope scans of additively manufactured surfaces using an adaptation of Rogallo's synthetic turbu…
Variational quantum simulation of U(1) lattice gauge theories with qudit systems
Pavel P. Popov, Michael Meth, Maciej Lewenstein +4
Lattice gauge theories are fundamental to various fields, including particle physics, condensed matter, and quantum information theory. Recent progress in the control of quantum sy…
Analysis of an Explicit, High-Order Semi-Lagrangian Nodal Method
Gustaaf B. Jacobs, Hareshram Natarajan, Pavel Popov +1
A discrete analysis of the phase and dissipation errors of an explicit, semi-Lagrangian spectral element method is performed. The semi-Lagrangian method advects the Lagrange interp…
A high-order semi-Lagrangian method for the consistent Monte-Carlo solution of stochastic Lagrangian drift-diffusion models coupled with Eulerian discontinuous spectral element method
H. Natarajan, P. P. Popov, G. B. Jacobs
The explicit semi-Lagrangian method method for solution of Lagrangian transport equations as developed in [Natarajan and Jacobs, Computer and Fluids, 2020] is adopted for the solut…