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researcher

M. Gauding

8 papers hereh-index 17965 citations84 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn6
  • cs.LG1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedUsing Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows

10 citations · 22 across the 5 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

1 paper · 1 filter

physics.comp-ph2019★ 3 cited

Deep learning at scale for subgrid modeling in turbulent flows

Mathis Bode, Michael Gauding, Konstantin Kleinheinz +1

Modeling of turbulent flows is still challenging. One way to deal with the large scale separation due to turbulence is to simulate only the large scales and model the unresolved co…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.