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Johannes Sappl

2 papers hereh-index 6121 citations10 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedDeep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2019

Accelerating Surface Tension Calculation in SPH via Particle Classification & Monte Carlo Integration

Fernando Zorrilla, Johannes Sappl, Wolfgang Rauch +1

Surface tension has a strong influence on the shape of fluid interfaces. We propose a method to calculate the corresponding forces efficiently. In contrast to several previous appr…

cs.LG2019★ 6 cited

Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems

Johannes Sappl, Laurent Seiler, Matthias Harders +1

Solving systems of linear equations is a problem occuring frequently in water engineering applications. Usually the size of the problem is too large to be solved via direct factori…

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