Zobrazeno 1 - 10
of 947
pro vyhledávání: '"Matha A"'
Autor:
Matha, Marcel, Morsbach, Christian
Publikováno v:
Physics of Fluids, Vol.36, Issue 2, 2024
Aerospace design is increasingly incorporating Design Under Uncertainty based approaches to lead to more robust and reliable optimal designs. These approaches require dependable estimates of uncertainty in simulations for their success. The key contr
Externí odkaz:
http://arxiv.org/abs/2311.01355
Autor:
Matha, Marcel, Morsbach, Christian
To achieve virtual certification for industrial design, quantifying the uncertainties in simulation-driven processes is crucial. We discuss a physics-constrained approach to account for epistemic uncertainty of turbulence models. In order to eliminat
Externí odkaz:
http://arxiv.org/abs/2306.13370
Autor:
Mathá, Natalia, Schoeffmann, Klaus, Schekotihin, Konstantin, Sarny, Stephanie, Putzgruber-Adamitsch, Doris, El-Shabrawi, Yosuf
In the last decade, the need for storing videos from cataract surgery has increased significantly. Hospitals continue to improve their imaging and recording devices (e.g., microscopes and cameras used in microscopic surgery, such as ophthalmology) to
Externí odkaz:
http://arxiv.org/abs/2306.12829
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-7 (2024)
Abstract The purpose of the GLocal dataset is to enable research in international development that requires both global scope and local precision. Leveraging modern geospatial analysis tools, we process a diverse array of sources to provide researche
Externí odkaz:
https://doaj.org/article/38cdc20928004aa39a2f3d97b523fc87
Autor:
Matha, Marcel, Morsbach, Christian
Publikováno v:
Physics of Fluids, Vol.35, Issue 6, 2023
The limitations of turbulence closure models in the context of Reynolds-averaged NavierStokes (RANS) simulations play a significant part in contributing to the uncertainty of Computational Fluid Dynamics (CFD). Perturbing the spectral representation
Externí odkaz:
http://arxiv.org/abs/2303.06149
Laser self-mixing is in principle a simple and robust general purpose interferometric method, with the additional expressivity which results from nonlinearity. However, it is rather sensitive to unwanted changes in target reflectivity, which often hi
Externí odkaz:
http://arxiv.org/abs/2302.00065
Autor:
Matha, Marcel, Kucharczyk, Karsten
White paper: The aim of this work is to apply and analyze machine learning methods for uncertainty quantification of turbulence models. In this work we investigate the classical and data-driven variants of the eigenspace perturbation method. This met
Externí odkaz:
http://arxiv.org/abs/2210.16358
Publikováno v:
Computers & Fluids, 255, 2023, 105837
In order to achieve a virtual certification process and robust designs for turbomachinery, the uncertainty bounds for Computational Fluid Dynamics have to be known. The formulation of turbulence closure models implies a major source of the overall un
Externí odkaz:
http://arxiv.org/abs/2210.00002
Autor:
Matha, Marcel, Morsbach, Christian
In order to achieve a more virtual design and certification process of jet engines in aviation industry, the uncertainty bounds for computational fluid dynamics have to be known. This work shows the application of a machine learning methodology to qu
Externí odkaz:
http://arxiv.org/abs/2202.01560
Autor:
Matha, Amber R.1 (AUTHOR), Xie, Xiaofeng1 (AUTHOR), Maier, Robert J.1 (AUTHOR), Lin, Xiaorong1 (AUTHOR) xiaorong.lin@uga.edu
Publikováno v:
PLoS Genetics. 9/16/2024, Vol. 20 Issue 9, p1-25. 25p.