141 to 150 of 1,825 Results
Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3
Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe... |
Dec 20, 2024 - Publication: A novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures
Krach, David; Weinhardt, Felix; Wang, Mingfeng; Schneider, Martin; Class, Holger; Steeb, Holger, 2024, "Code and benchmarks for geometry-informed drag term computation for pseudo-3D Stokes simulations with varying apertures", https://doi.org/10.18419/DARUS-4313, DaRUS, V2
Content: This data set includes snapshots of the code used to compute the benchmarks and applications in Krach et al.(2024). All software tools provided enable the user to perform pseudo-3D Stokes simulations with a geometry-informed drag term using DuMux and to determine permeability, volumetric flux as well as local pressure and velocity fields f... |
Dec 19, 2024 - Modelling
Spindler, Jan; Giakissiklis, Christina; Stierle, Catharina; Buschlüter, Marc; Liebeton, Klaus; Siemann-Herzberg, Martin; Takors, Ralf, 2024, "Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences", https://doi.org/10.18419/DARUS-4628, DaRUS, V1
The DaRUS repository entails and supplements the simulation data, MATLAB model and graphics for the publication: "Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences" |
Kurth, Daniel, 2024, "Results data for the publication: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems", https://doi.org/10.18419/DARUS-4438, DaRUS, V1
This data repository contains the results data associated with a publication named: Universal and Automated Approaches for Optimising the Processing Order of Geometries in a CAM Tool for Redundant Galvanometer Scanner-Based Systems The publication focuses on the design and development of a CAM tool. The tool is developed for the application of lase... |
Dec 19, 2024 - Surrogate models for groundwater flow simulations
Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o... |
Dec 19, 2024 - Evaporation-driven density instabilities in unsaturated porous media
Kiemle, Stefanie, 2024, "DuMuX code for modelling evaporation-driven density instabilities in unsaturated porous media", https://doi.org/10.18419/DARUS-4610, DaRUS, V1
This dataset contains the source code to reproduce the numerical simulations presented in Bringedal et al. Impact of saturation on evaporation-driven density instabilities in porous media: mathematical and numerical analysis (submitted), Transport in Porous Media, **TODO: add doi after acceptance**. The application allows to model the estimated ons... |
Dec 19, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure"
Garkov, Dimitar; Piselli, Tommaso; Di Giacomo, Emilio; Klein, Karsten; Liotta, Giuseppe; Montecchiani, Fabrizio; Schreiber, Falk, 2024, "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data", https://doi.org/10.18419/DARUS-4231, DaRUS, V1
This dataset contains the supplementary materials to our publication "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis", where we report on a study we conducted. Please refer to publication for more details, also the abstract can be found at the end of this description. The dataset contains: The collection of graphs... |
Dec 18, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "Onco* version 0.1.0", https://doi.org/10.18419/DARUS-4651, DaRUS, V1
Onco* version 0.1.0 Onco* is a module based umbrella software project for numerical simulations of patient-specific cancer diseases, see following figure. From given input states of medical images the disease is modelled and its evolution is simulated giving possible predictions. In this way, a digital cancer patient is created, which could be used... |
Dec 18, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "Onco* tutorial", https://doi.org/10.18419/DARUS-4639, DaRUS, V2
Onco* tutorial This repository contains a tutorial for the following software packages: OncoFEM OncoSTR OncoTUM OncoGEN The goal is to demonstrate all functions and provide users with easier access to the tools. After successfully installing one or all of the packages, the respective tutorial can be started with Python, for example: python oncofem_... |
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander; Truger, Felix, 2024, "Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"", https://doi.org/10.18419/DARUS-4632, DaRUS, V1, UNF:6:oUWWwJbE35iP7+XujN7O1g== [fileUNF]
This dataset contains the replication code for the publication titled "Joint Wire Cutting with Non-Maximally Entangled States." The provided code represents the version utilized to generate the experimental results documented in the corresponding publication. The experiments investigate the influence of entangled states in a joint wire cut using di... |
