Shivaji Medida

Computational Mechanics · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Shivaji Medida trusts overall

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

  1. Jian-Xun Wang
  2. Karthik Duraisamy
  3. Jin-Long Wu
  4. Anand Pratap Singh
  5. Julia Ling
  6. Todd A. Oliver
  7. Michele Milano
  8. John E. Dennis Jr.
  9. Sergios Theodoridis
  10. Heng Xiao

Who trusts Shivaji Medida overall

  1. Heng Xiao
  2. Jin-Long Wu
  3. Nicholas Geneva
  4. Navid Zobeiry
  5. Linyang Zhu

Papers from Shivaji Medida's perspective

Ordered by how strongly the researchers Shivaji Medida 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. A paradigm for data-driven predictive modeling using field inversion and machine learning
  3. Using field inversion to quantify functional errors in turbulence closures
  4. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
  5. Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data
  6. New Approaches in Turbulence and Transition Modeling Using Data-driven Techniques
  7. Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach (Journal of Computational Physics)
  8. An Introduction to the Adjoint Approach to Design
  9. Modeling of structural uncertainties in Reynolds-averaged Navier-Stokes closures
  10. Pattern recognition

Their papers