Jérôme Jacob

Computational Mechanics · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jérôme Jacob trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. A. W. Vreman
  2. Bernard J. Geurts
  3. Jochen Fröhlich
  4. F. Menter
  5. Jonas Lätt

Papers from Jérôme Jacob's perspective

Ordered by how strongly the researchers Jérôme Jacob trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A framework for predicting accuracy limitations in large-eddy simulation
  2. The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 1: Theory and Model Description
  3. Kinetic theory representation of hydrodynamics: a way beyond the Navier–Stokes equation (Journal of Fluid Mechanics)
  4. Lattice Boltzmann method with regularized pre-collision distribution functions (Mathematics and Computers in Simulation)
  5. An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications
  6. Experimental and numerical studies of the flow over a circular cylinder at Reynolds number 3900
  7. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
  8. Small-scale statistics in high-resolution direct numerical simulation of turbulence: Reynolds number dependence of one-point velocity gradient statistics (Journal of Fluid Mechanics)
  9. Direct numerical simulation of particle wall transfer and deposition in upward turbulent pipe flow
  10. Numerical simulation of particle-laden turbulent channel flow

Their papers