G. Laskowski

Journal of turbomachinery · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom G. Laskowski trusts

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

  1. Cândida Ferreira (in Computational Theory and Mathematics)
  2. John R. Koza (in Optimization & Training)

Papers from G. Laskowski's perspective

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

  1. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  2. Nonreflecting Zonal Characteristic Boundary Condition for Direct Numerical Simulation of Aerodynamic Sound
  3. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
  4. A novel evolutionary algorithm applied to algebraic modifications of the RANS stress-strain relationship (Journal of Computational Physics)
  5. Wall-Adapting Local Eddy-Viscosity models for simulations in complex geometries
  6. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (Complex Systems)
  7. Genetic Algorithms in Search
  8. THE PHYSICAL MECHANISM OF TRANSITION IN BLUFF BODY WAKES
  9. Numerical and Experimental Flow Analysis of Moving Airfoils with Laminar Separation Bubbles
  10. Large-eddy simulation of boundary-layer separation and transition at a change of surface curvature (Journal of Fluid Mechanics)

Their papers