Rui Sun
Computational Mechanics · with Wang · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 21 citations into it; #5,434 of 10,001 by trust here, #5,813 by citations
- Statistics and Probability — 14 citations into it; #10,839 of 12,932 by trust here, #8,279 by citations
- Environmental Engineering — 13 citations into it
- Statistical and Nonlinear Physics — 13 citations into it; #5,177 of 10,127 by trust here, #5,625 by citations
- Artificial Intelligence — 5 citations into it
Whom Rui Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Rui Sun overall
Papers from Rui Sun's perspective
Ordered by how strongly the researchers Rui Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
- Maximum likelihood Bayesian averaging of uncertain model predictions
- Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds
- Presentation of anisotropy properties of turbulence, invariants versus eigenvalue approaches
- Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
- DRAM: Efficient adaptive MCMC (Statistics and computing)
- Bayesian calibration of computer models
- A non‐stationary covariance‐based Kriging method for metamodelling in engineering design
- Model Error Representation in an Operational Ensemble Kalman Filter
- Physical‐statistical modeling in geophysics
Their papers
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach (2015) — 315 citations
- Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned (2018) — 195 citations