1 citations · 1 across the 4 of their papers we have counts for
4 papers
Mean-flow-based reduced-order models of turbulent channel flow
Ian Addison-Smith, Igor A. Maia, André V. G. Cavalieri +1
Reduced-order models (ROMs) for turbulent flows based on Galerkin projection can achieve reasonable accuracy using equation-based modal bases derived from the linearized Navier-Sto…
Train yourself: self-compressing reduced-order models of turbulent flows
Ian Addison-Smith, Igor A. Maia, Benjamin Herrmann +1
Reduced-order models (ROMs) of turbulent flows based on Galerkin projection often require many degrees of freedom to resolve the dynamics of the turbulence, or simulation data to o…
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
Accurate boundary-integral formulations for the calculation of electrostatic forces with an implicit-solvent model
Ian Addison-Smith, Horacio V. Guzmán, Christopher D. Cooper
An accurate force calculation with the Poisson-Boltzmann equation is challenging, as it requires the electric field on the molecular surface. Here, we present a calculation of the…