14 citations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE2 papers
- Technical University of MunichDE2 papers
- Aalto UniversityFI1 paper
- Astronomical Observatory of RomeIT1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Brera Astronomical ObservatoryIT1 paper
- Cardiff UniversityGB1 paper
- CEA Paris-SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chalmers University of TechnologySE1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Curtin UniversityAU1 paper
6 papers
Flexible Manufacturing Systems Intralogistics: Dynamic Optimization of AGVs and Tool Sharing Using Coloured-Timed Petri Nets and Actor-Critic RL with Actions Masking
Sofiene Lassoued, Laxmikant Shrikant Bahetic, Nathalie Weiß-Borkowskib +2
Flexible Manufacturing Systems (FMS) are pivotal in optimizing production processes in today's rapidly evolving manufacturing landscape. This paper advances the traditional job sho…
Computational homogenization for aerogel-like polydisperse open-porous materials using neural network--based surrogate models on the microscale
Axel Klawonn, Martin Lanser, Lucas Mager +1
The morphology of nanostructured materials exhibiting a polydisperse porous space, such as aerogels, is very open porous and fine grained. Therefore, a simulation of the deformatio…
Flexible Informed Trees (FIT*): Adaptive Batch-Size Approach in Informed Sampling-Based Path Planning
Liding Zhang, Zhenshan Bing, Kejia Chen +8
In path planning, anytime almost-surely asymptotically optimal planners dominate the benchmark of sampling-based planners. A notable example is Batch Informed Trees (BIT*), where p…
A multi-wavelength study of GRS 1716-249 in outburst : constraints on its system parameters
Payaswini Saikia, David M. Russell, M. C. Baglio +27
We present a detailed study of the evolution of the Galactic black hole transient GRS 1716-249 during its 2016-2017 outburst at optical (Las Cumbres Observatory), mid-infrared (Ver…
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
Daniel Coquelin, Charlotte Debus, Markus Götz +4
With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are…
Boundedness-Preserving Implicit Correction of Mesh-Induced Errors for VoF Based Heat and Mass Transfer
Simon Hill, Daniel Deising, Thomas Acher +3
Spatial discretisation of geometrically complex computational domains often entails unstructured meshes of general topology for Computational Fluid Dynamics (CFD). Mesh skewness is…