Research output per year
Research output per year
Personal profile
Qualifications
BSc, MSc, PhD
Education/Academic qualification
Doctor of Philosophy, University of Uppsala
Award Date: 23 Nov 2018
Keywords
- Uncertainty Quantification
- Data-driven Methods
- Turbulent Flows
- Computational Fluid Dynamics (CFD)
- Time Series
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Dive into the research topics where Saleh Rezaeiravesh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics
Rezaeiravesh, S., Vinuesa, R. & Schlatter, P., 30 Apr 2022, In: Journal of Computational Science. 62, 101688.Research output: Contribution to journal › Article › peer-review
Open Access -
Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems
Morita, Y., Rezaeiravesh, S., Tabatabaei, N., Vinuesa, R., Fukagata, K. & Schlatter, P., 15 Jan 2022, In: Journal of Computational Physics. 449, 110788.Research output: Contribution to journal › Article › peer-review
Open Access -
A library for wall-modelled large-eddy simulation based on OpenFOAM technology
Mukha, T., Rezaeiravesh, S. & Liefvendahl, M., Jun 2019, In: Computer Physics Communications. 239, p. 204-224 21 p.Research output: Contribution to journal › Article › peer-review
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UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD)
Rezaeiravesh, S., Vinuesa, R. & Schlatter, P., 20 Apr 2021, In: Journal of Open Source Software.Research output: Contribution to journal › Article › peer-review
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On numerical uncertainties in scale-resolving simulations of canonical wall turbulence
Rezaeiravesh, S., Vinuesa, R. & Schlatter, P., 15 Sep 2021, In: Computers and Fluids. 227, 105024.Research output: Contribution to journal › Article › peer-review
Open Access