61 to 70 of 131 Results
May 23, 2024 - EXC IntCDC RP 3: Multi-Storey Wood Building System
Orozco, Luis; Siriwardena, Lasath; Menges, Achim, 2024, "ABxM.MultiStorey.Columns: Agent-based Column Arrangement for Multi-Storey Structures", https://doi.org/10.18419/DARUS-4171, DaRUS, V1
ABxM.MultiStorey.Columns is an add-on for the agent-based design and arrangement of columns in multi-storey, point-supported structures. The add-on contains various agent system constructs and utilities for column arrangement and is intended to be used within Rhino/Grasshopper. This version contains tools for the autonomous self-organisation of poi... |
May 23, 2024 - EXC IntCDC RP 3: Multi-Storey Wood Building System
Orozco, Luis; Skoury, Lior; Menges, Achim, 2024, "Multi-Level, Multi-Agent Timber Slab Design Method Proof of Concept", https://doi.org/10.18419/DARUS-4170, DaRUS, V1
This repository contains the algorithmic methods and geometric results of the proof of concept for a multi-level, multi-agent timber slab design method. It includes the base plan, the structural simulation methods used for both its initial rough and subsequent fine grain analysis, the algorithm for its segmentation, and the two agent simulations us... |
May 23, 2024 - EXC IntCDC RP 3: Multi-Storey Wood Building System
Udaykumar, Keerthana; Orozco, Luis; Krtschil, Anna; Menges, Achim; Knippers, Jan, 2024, "Timber Column Slab Solver", https://doi.org/10.18419/DARUS-4172, DaRUS, V1
This dataset contains an agent-based exploration of the design space for modular slab and column systems. The primary objective is to equip designers with the ability to pinpoint structural configurations that adhere to Serviceability Limit State (SLS) deflection criteria from the beginning of the design process. The methods represent an innovative... |
May 22, 2024 - EXC IntCDC Research Project 21 'Modular Data Architecture for Preparation, Annotation and Exchange for Conceptual Design'
Skoury, Lior; Wortmann, Thomas, 2024, "Multi-protocol Messaging and Streaming Broker for Grasshopper (RabbitMQ_GH)", https://doi.org/10.18419/DARUS-4193, DaRUS, V1
RabbitMQ GH is a Grasshopper plugin for implementing RabbitMQ messaging capabilities to exchange data between external applications and Grasshopper scripts in real time, with a high degree of flexibility and scalability. INSTALLATION Erlang installation Download the current Erlang version installer and follow the default setup in the installation w... |
Apr 23, 2024 - Simulation input scripts to study Transport of Water In Soft confinemenT (TWIST)
Schlaich, Alexander, 2024, "Replication Data for: Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials", https://doi.org/10.18419/DARUS-3966, DaRUS, V1
Simulation input scripts used for "Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials" The folders the corresponding simulation and analysis files to setup the simulation systems (SETUP), perform the GCMC/MD simulations (ISOTHERM), and run the equilibrium and non-equilibrium MD simulations, respec... |
Apr 23, 2024 - CHOLife_TUHH_LSP_tracking
Hofmann, Sebastian; Buntkiel, Lukas; Rautenbach, Ryan; Gaugler, Lena; Ma, Yifan; Haase, Ingrid; Fitschen, Jürgen; Wucherpfennig, Thomas; Reinecke, Sebastian; Hoffmann, Marko; Takors, Ralf; Hampel, Uwe; Schlüter, Michael, 2024, "Data for: Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles", https://doi.org/10.18419/DARUS-3768, DaRUS, V1
The DaRUS repository entails the raw files, result files and the MATLAB codes for the publication "Experimental Analysis of Lifelines in a 15,000 L Bioreactor by Means of Lagrangian Sensor Particles" in the journal "Chemical Engineering Research and Design". This study employs Lagrangian Sensor Particles (LSPs) with a diameter of 40 mm equipped wit... |
Apr 11, 2024 - Holm group
Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/DARUS-4099, DaRUS, V1
Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with the trained potentials. |
Apr 8, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "VisRecall++: Analysing and Predicting Recallability of Information Visualisations from Gaze Behaviour (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3138, DaRUS, V1, UNF:6:NwphGtoYrBQqd2TyRh0OHA== [fileUNF]
This dataset contains stimuli and collected participant data of VisRecall++. The structure of the dataset is described in the README-File. Further, if you are interested in related codes of the publication, you can find a copy of the code repository (see Metadata for Research Software) within this dataset. |
Mar 25, 2024 - A01: Molecular detail in fluid simulations: Density Functional Theory within component and momentum balances
Bursik, Benjamin; Stierle, Rolf; Schlaich, Alexander; Rehner, Philipp; Gross, Joachim, 2024, "Additional Material: Viscosities of Inhomogeneous Systems from Generalized Entropy Scaling", https://doi.org/10.18419/DARUS-3769, DaRUS, V1
This data set contains data of three categories: 1) LAMMPS input files (.lammps), postprocessing python script (.py) and density and velocity profiles (.dat) from NEMD. 2) DFT three-dimensional density profiles (.npy) for all systems. 3) Jupyter notebooks (.ipynb) for the calculation of densities from DFT, viscosity and velocity profiles from entro... |
Mar 22, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "Saliency3D: A 3D Saliency Dataset Collected on Screen (Dataset and Experiment Application)", https://doi.org/10.18419/DARUS-4101, DaRUS, V1
While visual saliency has recently been studied in 3D, the experimental setup for collecting 3D saliency data can be expensive and cumbersome. To address this challenge, we propose a novel experimental design that utilizes an eye tracker on a screen to collect 3D saliency data. Our experimental design reduces the cost and complexity of 3D saliency... |