Prakash Vedula

Statistical and Nonlinear Physics · 2018

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

Subfields

• Statistical and Nonlinear Physics — 13 citations into it; #8,387 of 10,127 by trust here, #6,727 by citations
• Computational Mechanics — 12 citations into it; #8,518 of 10,001 by trust here, #6,877 by citations

Whom Prakash Vedula trusts

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

1. Michele Milano (in Statistical and Nonlinear Physics)
2. Petros Koumoutsakos (in Statistical and Nonlinear Physics)

Who trusts Prakash Vedula

1. Steven L. Brunton (in Computational Mechanics)
2. Ricardo Vinuesa (in Statistical and Nonlinear Physics)

Papers from Prakash Vedula's perspective

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

1. Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach (Journal of Computational Physics)
2. Turbulence Modeling in the Age of Data (Annual Review of Fluid Mechanics)
3. Neural network modeling for near wall turbulent flow
4. Mathematics of Large Eddy Simulation of Turbulent Flows
5. Towards a mesoscale eddy closure
6. Deep learning in fluid dynamics (Journal of Fluid Mechanics)
7. Introduction to geophysical fluid dynamics : physical and numerical aspects
8. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
9. Machine learning strategies for systems with invariance properties (Journal of Computational Physics)
10. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

Their papers

• Subgrid modelling for two-dimensional turbulence using neural networks (2018) — 341 citations