DaRUS (University of Stuttgart)
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2037 research outputs found
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Knowledge Graph Generator
No full textCode and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence.
This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Random Knowledge Graphs from Rules, University of Stuttgart, 2024. doi:10.18419/opus-15467.</p
Python implementation of data-based estimation of critical time steps for explicit time integration
No full textThis is a demo for the manuscript 'Data-based estimation of critical time steps for explicit time integration' that demonstrates data-driven approaches for 2D-element time step estimation as described in the manuscript. It includes all data sets and code used in the preparation of this manuscript. This includes all resources required for the generation of data sets, evaluation of existing estimators, development of optimal safety factors for arbitrary estimators, and the implementation of the new time step estimators. The functions are showcased by recreating all plots from the manuscript. For more information, see the README
Supplementary material for "Influence of Ionic Liquid Film Thickness and Flow Rate on Macrocyclization Efficiency and Selectivity in Supported Ionic Liquid-Liquid Phase Catalysis"
No full textThis dataset contains simulation input files in GROMACS format accompanying the mentioned publication as well as GC-MS and NMR data. We recommend viewing the data by choosing the option "tree"
Rotating CT-Scan Visualization of Hollow Structures Produced by the Combination of Additive and Subtractive Laser Processing
No full textThis animation provides a rotational visualization of the CT-scan of a part manufactured using the combination of additive and subtractive laser processing. The color bar on the left indicates the width or diameter of the hollow structures
Replication data for: "Shedding Light on the Active Species in a Cobalt-Based Covalent Organic Framework for the Electrochemical Oxygen Evolution Reaction"
No full textAll primary and processed data of the journal article can be found here. The data is structured according to analytical techniques. The material measured is described in a file name. The dataset includes only experimental data and no simulational data. The measurement methods are described in the SI of the journal article.
The data can be used to replicate the experiments, to evaluate and compare the materials' properties with others, and to investigate the materials' structures
Code and Data for: "Bioinspired Morphology and Task Curricula for Learning Locomotion in Bipedal Muscle-Actuated Systems"
No full textThis repository includes the data and the code of the (soon to be published) paper: "Bioinspired Morphology and Task Curricula for Learning Locomotion in Bipedal Muscle-Actuated Systems" by Nadine Badie, Firas Al-Hafez, Pierre Schumacher, Daniel F.B. Haeufle, Jan Peters, and Syn Schmitt. Please always cite the paper in combination with this dataset as it is not self-explanatory
Digital Twin for a Modular Collective Robotic Construction System
No full textThis dataset contains the digital twin developed for a Collective Robotic Construction (CRC) system, as published in Advanced Science (Leder, S., Kim, H., Oguz, O.S., Kalousdian, N.K., Hartmann, V.N., Menges, A., Toussaint, M., Sitti, M.: 2022, Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction. Advanced Science, 2201524. DOI: 10.1002/advs.202201524).
In this version, the digital twin allows robotic plans in .JSON format to be loaded (Load Plan), and either simulated without the physical CRC system or executed in real time. In both modes, plans can be played through continuously or stepped through action by action. During simulation, users can control the playback speed (Speed), allowing the simulation to run faster than real-world robot operation.
In real-time execution mode (Actuate Real Motors), communication with the robots occurs via serial communication over Bluetooth. The construction process is monitored using an external motion capture system. Implementations for both Vicon and OptiTrack are included in the digital twin. Data captured from the motion tracking system can be used for position correction (Position Correction) at each step of the robotic plan, if desired.
Additionally, the robots in the CRC system can be manually controlled. Within the interface, users can rotate the main axis of each robot, open and close the top and bottom grippers, and control the tongue within the gripper. These controls are available for each deployed robot and are accompanied by visualizations of both the real-time robot positions and their expected positions based on the robotic plans.
The digital twin relies on external code based for some functionalities. Included in the dataset is a therefore README, which provides setup instructions, dependency guidelines, and licensing information
Replication Data for: Greedy-kernel algorithms for data mapping in multiphysics simulations
No full textThis data set contains all test cases and measurements referenced in the Bachelor's Thesis "Greedy-kernel algorithms for data mapping in multiphysics simulations".
It also contains the modified code of preCICE and ASTE used to execute these test cases
Data for "Spin-1 Haldane phase in a chain of Rydberg atoms"
No full textThis dataset includes files and data to reproduce the figures of "Spin-1 Haldane phase in a chain of Rydberg atoms".
The `plot_data` directory contains all raw data, which are needed to reproduce the figures of the paper. This data was generated by using the TeNPy package (v0.10.0) and the pairinteraction package (v0.9.9).
The `plot_scripts` directory contains python scripts to reproduce the figures of the paper.
The `parameters` directory contains the input parameters used for calculating the Rydberg states and interactions with pairinteraction as well as the resulting energies and interaction strengths
Disintegration at the trailing edge of a NACA 0006 profile
No full textThis is a data set with measurements for trailing edge disintergration on a NACA 0006 profile with an integrated film layer and water as investigated fluid. The videos are based on shadowgraphy images taken from the side at the trailing edge and were analyzed using MATLAB image processing toolbox. The flow profile in the wind tunnel was measured using Laser Doppler Velocimetry (LDA)