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Steffen Schotthöfer

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • math.NA2
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

most citedNeural network-based, structure-preserving entropy closures for the Boltzmann moment system

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

physics.med-ph2022

KiT-RT: An extendable framework for radiative transfer and therapy

Jonas Kusch, Steffen Schotthöfer, Pia Stammer +2

In this paper we present KiT-RT (Kinetic Transport Solver for Radiation Therapy), an open-source C++ based framework for solving kinetic equations in radiation therapy applications…

math.NA2022★ 1 cited

Neural network-based, structure-preserving entropy closures for the Boltzmann moment system

Steffen Schotthöfer, Tianbai Xiao, Martin Frank +1

This work presents neural network based minimal entropy closures for the moment system of the Boltzmann equation, that preserve the inherent structure of the system of partial diff…

math.NA2021

A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks

Steffen Schotthöfer, Tianbai Xiao, Martin Frank +1

Direct simulation of physical processes on a kinetic level is prohibitively expensive in aerospace applications due to the extremely high dimension of the solution spaces. In this…

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