Research output per year
Research output per year
Search results
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2022
CFD-driven symbolic identification of algebraic Reynolds-stress models
Ben Hassan Saïdi, I., Schmelzer, M., Cinnella, P. & Grasso, F., 2022, In: Journal of Computational Physics. 457, 16 p., 111037.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile20 Citations (Scopus)58 Downloads (Pure) -
2021
Customized data-driven RANS closures for bi-fidelity LES–RANS optimization
Zhang, Y., Dwight, R. P., Schmelzer, M., Gómez, J. F., Han, Z. H. & Hickel, S., 2021, In: Journal of Computational Physics. 432, 110153.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile8 Citations (Scopus)109 Downloads (Pure) -
Data-driven RANS closures for three-dimensional flows around bluff bodies
Huijing, J. P., Dwight, R. P. & Schmelzer, M., 2021, In: Computers and Fluids. 225, 6 p., 104997.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile14 Citations (Scopus)101 Downloads (Pure) -
2020
Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo
Kumar, P., Schmelzer, M. & Dwight, R. P., 15 Apr 2020, In: Computers and Fluids. 201, 24 p., 104420.Research output: Contribution to journal › Article › Scientific › peer-review
5 Citations (Scopus) -
2019
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Schmelzer, M., Dwight, R. P. & Cinnella, P., 2019, In: Flow, Turbulence and Combustion. 104, 2-3, p. 579-603 25 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile136 Citations (Scopus)152 Downloads (Pure) -
2018
Bayesian predictions of reynolds-averaged navier–stokes uncertainties using maximum a posteriori estimates
Edeling, W. N., Schmelzer, M., Dwight, R. P. & Cinnella, P., 1 Jan 2018, In: AIAA Journal. 56, 5, p. 2018-2029 12 p.Research output: Contribution to journal › Article › Scientific › peer-review
22 Citations (Scopus)