7 citations · 9 across the 5 of their papers we have counts for
5 papers
Neural network methods for Neumann series problems of Perron-Frobenius operators
T. Udomworarat, I. Brevis, M. Richter +2
Problems related to Perron-Frobenius operators (or transfer operators) have been extensively studied and applied across various fields. In this work, we propose neural network meth…
On Direction Preserving Discretizations for Computing Phase-Space Densities
David J. Chappell, Martin Richter, Gregor Tanner
Ray flow methods provide efficient tools for modelling wave energy transport in complex systems at high-frequencies. We compare two Petrov-Galerkin discretizations of a phase-space…
Integration of Reconfigurable Intelligent Surfaces in Dynamical Energy Analysis
Sergio Terranova, Martin Richter, Neekar M Mohammed +2
Reconfigurable intelligent surfaces have been recently investigated for their potentials to offer significant performance improvements in the next generation wireless telecommunica…
A direction preserving discretization for computing phase-space densities
David J. Chappell, Jonathan J. Crofts, Martin Richter +1
Ray flow methods are an efficient tool to estimate vibro-acoustic or electromagnetic energy transport in complex domains at high-frequencies. Here, a Petrov-Galerkin discretization…
Transfer operator approach to ray-tracing in circular domains
J Slipantschuk, M Richter, D J Chappell +3
The computation of wave-energy distributions in the mid-to-high frequency regime can be reduced to ray-tracing calculations. Solving the ray-tracing problem in terms of an operator…