DaRUS (University of Stuttgart)
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Electrocatalytic proton reduction: Metal based fused diporphyrins with proton relays for efficient catalysis
No full textThis project deals with the use of metal-based fused diporphyrins as electrocatalysts for HER reduction. The objectives of the
proposed work are as follows:
Synthesis of metal complexes (Cu, Ni) of substituted free base monoporphyrin derivatives bearing hydrophilic groups at the periphery (-CO2CH3, tert-butyl groups).
Synthesis of fused diporphyrins from respective monoporphyrin derivatives. Elucidation of their geometric and electronic structures through electrochemical, spectroscopic, and X-ray diffraction analyses.
Evaluation of the catalytic activity of the metal complexes in HER reduction in non-aqueous mediums.
Quantification of electrocatalytic efficiency, and elucidation of mechanistic pathway to develop structure-activity correlations.
Elucidation of the mechanistic pathway to determine the active intermediates.
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Replication data of Estes group for: Reversible Oxidative Additions of Weak Acids to Pd(0) Complexes: "Effects on PdH Catalyzed Enyne Cycloisomerization"
No full textAll primary data files of measurements and processed data of the journal article mentioned under related publications from Estes group can be found here. The data (mainly NMR data) is structured via the names of used acids and Pd catalysts discussed in the publication. Additionally, a script for kinetic data modelling is added.
Data types: Bruker-NMR files, jupyter notebook script (python)
exaFOAM Industrial Benchmark B4 - Viscoelastic Complex Profile Extrusion
No full textThis work is part of the exaFOAM project, aimed at optimizing the open-source CFD software OpenFOAM for massively parallel HPC architectures and overcoming performance bottlenecks. The viscoelastic complex profile extrusion case was designed to evaluate the viscoelasticFluidFoam solver's numerical implementation and computational performance within a realistic and intricate profile extrusion die geometry, provided by the exaFOAM supporter Soprefa, that represents the typical industrial complexity and scale of the industrial process. Due to the complex geometry employed, the unstructured meshes required to obtain accurate results can easily comprise up to 40 million cells. The problem is modelled considering the isothermal and incompressible 3D flow of a Giesekus viscoelastic fluid. Detailed information and case setup can be found in the README.md file contained in the case setup file
Technical specifications and details of the muscle-driven biorobotic arm ATARO
No full textATARO is a bio-inspired arm robot with two degrees of freedom. Five artificial muscle-spring units (MSUs) are used for actuation. The MSUs, each consisting of a pneumatic artificial muscle (PAM) and a spring in series, mimic the characteristics of the human muscle-tendon complex. Five proportional control valves actuate the PAMs. To mimic biological proprioception, a force sensor and a length sensor in each muscle, and an angle sensor in each joint are used. A computer with an I/O board is used to control the arm robot in a real-time hardware-in-the-loop setup. The controller is implemented using Matlab 2016b®/Simulink®. This dataset entails detailed technical specifications and exemplary videos showing different movement patterns derived from bio-inspired control concepts
Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a
No full textThis dataset contains the proposed sphingolipid rheostat model with mass-action kinetics and a proposed negative feedback from ceramide to its synthesis from Sphinganine. The model is written in the Systems Biology Markup Language (SBML) and with the experimental data, experimental conditions, parameters, and observables part of the PEtab paramter estimation problem.
The PEtab problem was used to infer the parameters from the experimental data in a reproducible manner. It is uploaded with the scripts to execute the estimation and process the simulation results. Further, the estimated model parameters and model simulation results are uploaded in machine- and human-readable formats
Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs
No full textThis is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23.
This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch. The code is tested on public datasets which can be download from StarE. To execute the code, follow the instructions in the README.md file.
For more info, please check the paper or feel free to contact the authors for any inquiries.</p
COLife_00 - Gigamap and Fabrication Data
No full textThe dataset covers codesign gigamapping data and the 3d parametric models from Rhino 3d of a set of responsive wood insect hotels with pollinator's gardens from the year 2022/23. The first set of gigamaps are for the first intervention POL-AI1, the second for its iteration POL-AI2 within the 'Enacting Bateson Ecological Aesthetics in Architecture and Design' group. The first, POL-AI I, gigamapping was a sequence of codesign workshops achieved through a teaching block 'Synergetic Transformations' held with Leonie Fischer. This codesign information was turned into the fabrication drawings and installed in Seidenstrasse 36, Stuttgart in 2022. The iteration POL-AI II was installed at the Bauhaus University of Weimar at Geschwister-Scholl-Strasse 13 in 2023
Replication Data for: "LiDICS: A Light Dynamics Interface for Multi-domain Simulation based on the FMI-Standard"
No full textThis dataset contains the following data:
fVec.csv: the csv-file with all hemispherical integrals for each spherical harmonics base, sky region and the two slopes
SensorPosition.csv: the csv-file with the positions and directions of the illuminance sensors on the workplane and eye level in the world coordinate system
dfRaw.csv: the csv-file with all matrices Q,E,M for LiDICS model training
dfRaw_3pm.csv: the csv-file with all the matrices Q,E,M for LiDICS model validation with 3-phase method
dfRes.csv: the csv-file with all the results matrices S,P and key metrics r2 of all regression stages
siops-Folder: the htlm-files with interactive 3D plots of all resulting solar incidence operators, name convention: "siop_" + quantityString + "_" + discreteFacadeInput + ".html"
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Primary drainage experiments and fractal dimensions
No full textThe current repository contains raw data in the shape of images collected during a systematic laboratory study, examining the usability of the fractal dimension in the characterization of the flow regime. The study is presented in the paper by Karadimitriou et al., 2024. The two fluids were the wetting phase (WP), FluorinertTM, FC-43, and the non-wetting phase (NWP), deionized water mixed with ink, and occasionally with a specific amount of Glycerol. The wetting phase was initially introduced into the pore space of a Poly-Di-Methyl-Siloxane (PDMS) micromodel, fully saturating it. Then, primary drainage scenarios were realized with the introduction of the non-wetting phase under controlled-flux conditions.
The objective of the study was to investigate the usability of the fractal dimension of various geometrical entities, like the interfaces between phases, and the bulk non-wetting phase occupancy of the pore space, in the characterization of the flow regime.
Main data
The dataset is populated with the raw images acquired during a primary drainage process. Every drainage process took place under a fixed boundary volumetric flux, which is depicted in the title of each file, in terms of the corresponding capillary number. Additionally, the title of each file also includes the viscosity ratio between the invading and the defending phase. A typical file name is in the form Ca=***,M=***.tar. In the images, the non-wetting phase, namely water, shows as dark, and the wetting phase, namely Fluorinert, shows as transparent within the boundaries of the pore network. Flow takes place from right to left.
Procedure followed for each constant Ca and M experiment
The term “experiment” pertains to the breakthrough of the non-wetting phase from its own inlet to the outlet, at a constant boundary flux. For every experiment, a fixed capillary number value, Cai, i = 1,2,3, is maintained, whereas the viscosity ratio between the invading and the defending phase remains the same through a single experiment. In order for the viscosity ratio to be fixed on demand, Glycerol was added to water at specific concentrations, so as to achieve the desired viscosity of water. The Ca used were 10-2, 10-3, 10-4, and 10-5. The viscosity ratios used were 0.2, 1, and 10.
The flow network has overall dimensions of 15 by 20 millimeters, with a mean pore size of 410 microns, and a depth of 100 microns. It is an exact replication of the network used in the work of Sivanesapillai et al., 2018.
The micromodel is initially saturated with the wetting phase. Then, the non-wetting phase is injected into the microfluidic pore network. The non-wetting phase is injected at a fixed volumetric flux to maintain a constant value of the capillary number, Ca, during the entire experiment. The wetting phase is getting passively displaced during this process. Even though the experiment, for the needs of the corresponding publication, concludes at breakthrough, some more images are acquired for future purposes.</p
Supplemental Materials for: Visual Analysis of Fitness Landscapes in Architectural Design Optimization
No full textThese are the supplemental materials for the submission titled "Visual Analysis of Fitness Landscapes in Architectural Design Optimization," accepted for publication in the Visual Computer Journal.
The structure of the folder is as follows:
.
├── additional_materials
│ └── This directory contains a more detailed description of the user study, case study, and parameter study. It also includes the implementation details, the raw data, and extended results from the user study. We compiled this information in a single PDF and provide LaTeX source files.
│
├── software
│ └── This directory contains all the necessary materials and resources to run the visualization plugin and set up the environment for the user study using LimeSurvey. Please check the README file within the directory for more information.
│
├── dataset
│ └── This directory contains the 9d_params dataset and the mysql script file which are needed to run the visualization plugin.
│
└── video
└── A 2-minute teaser video.
For the paper, we have adapted the research software Opossum provided in the folder software/. Further information can be found on the website of Opossum.
Since the source code is not yet published, we provide only the compiled version here