851 to 860 of 2,524 Results
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 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_... |
Dec 16, 2024 - Quantum Computing @IAAS
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... |
Dec 16, 2024 - Computational Biomechanics
Suditsch, Marlon; Wagner, Arndt; Ricken, Tim, 2024, "OncoTUM models", https://doi.org/10.18419/DARUS-4647, DaRUS, V1
OncoTUM models This repository hosts pretrained neural network models for OncoTUM, a key software package within the umbrella project Onco* for modelling and numerical simulations of tumours. OncoTUM is designed to facilitate tumour segmentations from medical images, leveraging state-of-the-art deep learning techniques. Purpose The pretrained model... |
Dec 16, 2024 - Usability and Sustainability of Simulation Software
Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1
This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases... |
Dec 13, 2024 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF
Nandeshwar, Muneshwar; Weisser, Kilian; Buchmeiser, Michael; Ziegler, Felix, 2024, "Replication Data for: "The Role of Spacer Length in Macrocyclization Reactions Under Confinement"", https://doi.org/10.18419/DARUS-4646, DaRUS, V1
All primary data files associated with this publication, experimental procedures, reaction conditions, and used analytical equipment can be found in detail in the experimental section or the paper's supporting information. Synthesized complexes (Mo1-Mo7) and macrocyclization were characterized via nuclear magnetic resonance (NMR) spectroscopy; the... |
