1 to 10 of 53 Results
Jun 7, 2024 - ABxM Framework for Agent-based Modeling and Simulation
Nguyen, Long; Schwinn, Tobias; Groenewolt, Abel; Maierhofer, Mathias; Zorn, Max Benjamin; Stieler, David; Siriwardena, Lasath; Kannenberg, Fabian; Menges, Achim, 2022, "ABxM.Core: The Core Libraries of the ABxM Framework", https://doi.org/10.18419/darus-2994, DaRUS, V2
The ABxM.Core consists of the agent core library ABxM.Core and an interoperability library for Rhino 6 and later versions. ABxM.Core implements the functionality specific to agent-based modelling and simulation. The core library can, in principle, be referenced from any applicati... |
Sep 12, 2023 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios, 2022, "Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel", https://doi.org/10.18419/darus-2816, DaRUS, V2
The current repository contains raw data collected during a systematic laboratory study, examining the flow rate dependency of steady-state, co-injection of two-immiscible fluids within a microfluidic pore network model. The study is presented in the paper by Karadimitriou et al.... |
Rehnert, Martina; Takors, Ralf, 2022, "Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement", https://doi.org/10.18419/darus-829, DaRUS, V1
The Research Data Management Plan (RDMP) of the priority program SPP 2170 is the formal document that should help to mangage the handling of data. Since enormous amounts of research data (Big Data) will be generated, the exchange and access to the data should be ensured. Every ex... |
Nov 7, 2022 - Institut für Strahlwerkzeuge
Hagenlocher, Christian, 2022, "Python implementation of heat accumulation equations for additive manufacturing", https://doi.org/10.18419/darus-2609, DaRUS, V1
This is a python implementation of the heat accumulation equations, which describe the increase of the residual temperature in additive manufacturing. The Derivation of the equations is described in the related paper given below. If you run the script in the console, it creates t... |
Oct 12, 2022 - Institute for Structural Mechanics
Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/darus-2870, DaRUS, V1
This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further informati... |
Oct 11, 2022 - SFB-TRR 161 B07 "Computational Uncertainty Quantification"
Beschle, Cedric; Barth, Andrea, 2022, "Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5", https://doi.org/10.18419/darus-3154, DaRUS, V1
Python code to generate the meshes and FEM solutions to Section 5 of the paper Uncertainty visualization: Fundamentals and recent developments. Comments are in the code to explain it. Paraview is used for the visualization. |
Oct 6, 2022 - demoa
Wochner, Isabell; Schmitt, Syn, 2022, "arm26: A Human Arm Model", https://doi.org/10.18419/darus-2871, DaRUS, V2
An arm model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This arm26 model consists of a musculoskeletal model of the arm with two degrees of freedom actuated by six muscles. The model is prepar... |
Oct 6, 2022 - demoa
Walter, Johannes R.; Wochner, Isabell; Jacob, Marc; Stollenmaier, Katrin; Lerge, Patrick; Schmitt, Syn, 2022, "allmin: A Reduced Human All-Body Model", https://doi.org/10.18419/darus-2982, DaRUS, V2
A reduced all-body model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. This allmin model consists of a musculoskeletal model of the human body with 20 degrees of freedom actuated by 36 muscles. T... |
Rieg, Carolin; Dittmann, Daniel; Li, Zheng; Kurtz, Alan; Kaya, Elif; Peters, Stefan; Kunkel, Benny; Parlinska-Wojtan, Magdalena; Wohlrab, Sebastian; Abdel-Mageed, Ali; Dyballa, Michael, 2022, "Publication data of Dyballa group for: "Introducing a Novel Method for Probing Accessibility, Local Environment and Spatial Distribution of Oxidative Sites on Solid Catalysts using Trimethylphosphine"", https://doi.org/10.18419/darus-2992, DaRUS, V1
Primary data files of measurements and processed data of the journal article mentioned under related publications from Dyballa group can be found here. This comprises MAS-NMR, ICP-OES, N2-Physisorption (Brunauer-Emmett-Teller method; BET), XRD, and STEM data. The STEM images are... |
Aug 9, 2022 - EXC IntCDC Research Project 12 'Computational Co-Design Framework for Fibre Composite Building Systems'
Abdelaal, Moataz; Schiele, Nathan Daniel; Angerbauer, Katrin; Kurzhals, Kuno; Sedlmair, Michael; Weiskopf, Daniel, 2022, "Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations", https://doi.org/10.18419/darus-3100, DaRUS, V1
The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows:
.
└── code
|── NetworkGenerati... |
