6 citations · 19 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch +2
Neural networks have achieved tremendous success in a large variety of applications. However, their memory footprint and computational demand can render them impractical in applica…
Predicting continuum breakdown with deep neural networks
Tianbai Xiao, Steffen Schotthöfer, Martin Frank
The multi-scale nature of gaseous flows poses tremendous difficulties for theoretical and numerical analysis. The Boltzmann equation, while possessing a wider applicability than hy…
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…