34 citations · 48 across the 6 of their papers we have counts for
6 papers
Speeding up Python-based Lagrangian Fluid-Flow Particle Simulations via Dynamic Collection Data Structures
Christian Kehl, Erik van Sebille, Angus Gibson
Array-like collection data structures are widely established in Python's scientific computing-ecosystem for high-performance computations. The structure maps well to regular, gridd…
Sparse-View Spectral CT Reconstruction Using Deep Learning
Wail Mustafa, Christian Kehl, Ulrik Lund Olsen +4
Spectral computed tomography (CT) is an emerging technology capable of providing high chemical specificity, which is crucial for many applications such as detecting threats in lugg…
Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation
Christian Kehl, Wail Mustafa, Jan Kehres +2
Multi-spectral computed tomography is an emerging technology for the non-destructive identification of object materials and the study of their physical properties. Applications of…
A Supervised Learning Concept for Reducing User Interaction in Passenger Cars
Marius Stärk, Damian Backes, Christian Kehl
In this article an automation system for human-machine-interfaces (HMI) for setpoint adjustment using supervised learning is presented. We use HMIs of multi-modal thermal condition…
Photoluminescence spectra of an n-doped (Cd,Mn)Te quantum well: an exemplary evidence for the anisotropy-induced valence-band mixing
A. V. Koudinov, C. Kehl, G. Astakhov +3
Photoluminescence spectra of a (001)-Cd0.99Mn0.01Te quantum well were taken with linear-polarization resolution and using an in-plane magnetic field. Because the quantum well conta…
Suris tetrons: possible spectroscopic evidence for four-particle optical excitations of the 2D electron gas
A. V. Koudinov, C. Kehl, A. V. Rodina +3
The excitations of a two-dimensional electron gas in quantum wells with intermediate carrier density (~10^{11} cm^{-2}), i.e., between the exciton-trion- and the Fermi-Sea range, a…