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Philipp Schlatter · Study

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Philipp Schlatter

3 works· latest 2022· 2 institutionscluster: provisionalORCID 0000-0001-9627-5903

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i103

Citations59

Works here3

21

22

Most cited in this library

An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics2022 · 33 citations
UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD)2021 · 14 citations
Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications2022 · 12 citations

Works

3 shown

Understanding the Impact of Synchronous, Asynchronous, and Hybrid In-Situ Techniques in Computational Fluid Dynamics Applications

IEEE International Conference on eScience·2022·5 authors·other·Open access

12citations

An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics

Journal of Computational Science·2022·3 authors·Open access

33citations

UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD)

The Journal of Open Source Software·2021·3 authors·other·Open access

14citations