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J. H. Göbbert

3 papers hereh-index 10174 citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedTowards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning

9 citations · 9 across the 2 of their papers we have counts for

collaborators

3 papers

physics.flu-dyn2022★ 9 cited

Towards prediction of turbulent flows at high Reynolds numbers using high performance computing data and deep learning

Mathis Bode, Michael Gauding, Jens Henrik Göbbert +3

In this paper, deep learning (DL) methods are evaluated in the context of turbulent flows. Various generative adversarial networks (GANs) are discussed with respect to their suitab…

cs.CV2021

Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers

Dirk Norbert Helmrich, Jens Henrik Göbbert, Mona Giraud +3

Computer Vision problems deal with the semantic extraction of information from camera images. Especially for field crop images, the underlying problems are hard to label and even h…

physics.flu-dyn2018

On the self-similarity of line segments in decaying homogeneous isotropic turbulence

Michael Gauding, Lipo Wang, Jens Henrik Goebbert +3

The self-similarity of a passive scalar in homogeneous isotropic decaying turbulence is investigated by the method of line segments (M. Gauding et al., Physics of Fluids 27.9 (2015…

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