Jin-Long Wu

Computational Mechanics · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Jin-Long Wu trusts overall

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

  1. Jeremy A. Templeton
  2. Anand Pratap Singh
  3. Julia Ling
  4. Karthik Duraisamy
  5. Naomi S. Altman
  6. Trevor J. Hastie
  7. Eric R. Ziegel
  8. Michael Breuer
  9. Stephen B. Pope
  10. Jack Weatheritt

Who trusts Jin-Long Wu overall

  1. Heng Xiao
  2. Karthik Duraisamy
  3. Ricardo Vinuesa
  4. Anand Pratap Singh
  5. Adil Rasheed
  6. Steven L. Brunton
  7. Gianluca Iaccarino
  8. Paola Cinnella
  9. Shivaji Medida
  10. Omer San

Papers from Jin-Long Wu's perspective

Ordered by how strongly the researchers Jin-Long Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
  3. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
  4. Turbulent Flows
  5. Machine learning strategies for systems with invariance properties (Journal of Computational Physics)
  6. The Elements of Statistical Learning
  7. Using field inversion to quantify functional errors in turbulence closures
  8. A paradigm for data-driven predictive modeling using field inversion and machine learning
  9. Presentation of anisotropy properties of turbulence, invariants versus eigenvalue approaches
  10. Using statistical learning to close two-fluid multiphase flow equations for a simple bubbly system

Their papers