Yilang Liu

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 Yilang Liu trusts overall

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

  1. Karthik Duraisamy

Papers from Yilang Liu's perspective

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

  1. Machine learning strategies for systems with invariance properties (Journal of Computational Physics)
  2. New Approaches in Turbulence and Transition Modeling Using Data-driven Techniques
  3. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
  4. Neural network modeling for near wall turbulent flow
  5. Three learning phases for radial-basis-function networks
  6. Local radial basis function-based differential quadrature method and its application to solve two-dimensional incompressible Navier–Stokes equations
  7. Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
  8. CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences
  9. Turbulence Modeling in the Age of Data (Annual Review of Fluid Mechanics)
  10. The global k-means clustering algorithm (Pattern Recognition)

Their papers