1 to 10 of 41 Results
Feb 16, 2024 - PN3-5
Sriram, Siddharth, 2024, "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes", https://doi.org/10.18419/darus-3881, DaRUS, V1
The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the con... |
Nov 20, 2023 - SPP2311: Ultrasound Neuromodulation
Werneck, Linda; Yildiz, Erdost; Han, Mertcan; Keip, Marc-Andre; Sitti, Metin; Ortiz, Michael, 2023, "Ion Flow Through Neural Ion Membrane: scripts and data", https://doi.org/10.18419/darus-3575, DaRUS, V1
The scripts and data are related to the numerical implementation of a quantitative model for ion flow through neural ion channels and a validation of the underlying single ion channel flow model for gramicidin A channels. The model is based on the Poisson-Nernst-Planck (PNP) equa... |
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.... |
Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation
Lee, Dongwon; Ruf, Matthias; Yiotis, Andreas; Steeb, Holger, 2023, "Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm", https://doi.org/10.18419/darus-3244, DaRUS, V1
This dataset contains the outcomes of conducted numerical simulations, rooted in designs generated using a stochastic algorithm devised by Quiblie (1984), Adler et al. (1990), and Hyman et al. (2014). Moreover, the investigation employed Lattice Boltzmann simulation, as used in p... |
Sep 6, 2023 - Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation
Ruf, Matthias; Lee, Dongwon; Yiotis, Andreas; Steeb, Holger, 2023, "micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing", https://doi.org/10.18419/darus-3243, DaRUS, V1
This dataset contains micro X-ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and binarized images) of 3D porous media micromodels manufactured by additive manufacturing using the Material Jetting (MJ) method. The micromodel geometries were designe... |
Aug 4, 2023 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Lee, Dongwon; Steeb, Holger, 2023, "Visual characterization of displacement processes in porous media", https://doi.org/10.18419/darus-3615, DaRUS, V1
This dataset correlates to the submitted article to IEEE VIS 2023, entitled “Visual Analysis of Displacement Processes in Porous Media using Spatio-Temporal Flow Graphs”, by Straub et al. 2023. More specifically, this data set is the one used to create the graphs shown in all Fig... |
May 4, 2023 - Publication: Particulate systems
Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, and 30% volume rubber content: samples 2 and 3", https://doi.org/10.18419/darus-3437, DaRUS, V1, UNF:6:LyvQPm+lMHvJ9Z4neyxihA== [fileUNF]
This dataset contains 12 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (ru... |
May 4, 2023 - Publication: Particulate systems
Ruf, Matthias; Taghizadeh, Kianoosh; Steeb, Holger, 2023, "micro-XRCT data sets and in situ measured ultrasonic wave propagation of pre-stressed monodisperse rubber and glass particle mixtures with 10%, 20%, 40%, and 60% volume rubber content: sample 1", https://doi.org/10.18419/darus-3436, DaRUS, V1, UNF:6:B6SNTx6Co9kvBdKrEWyCwA== [fileUNF]
This dataset contains 8 micro X-ray Computed Tomography (micro-XRCT) data sets from scans of cylindrical particulate mixture samples (diameter 80 mm; unloaded height 80 mm) under different uniaxial compression loads. The samples consist of monodisperse stiff (glass) and soft (rub... |
Apr 5, 2023 - Publication: Crystalline rocks
Ruf, Matthias; Lee, Dongwon; Steeb, Holger, 2023, "In situ performed fracturing experiment of a limestone sample using an X-ray transparent triaxial cell: micro-XRCT data sets and measurement data", https://doi.org/10.18419/darus-3106, DaRUS, V1, UNF:6:jZuOGs6RP72PrLA8cCwFjg== [fileUNF]
This dataset contains in situ recorded micro X-ray Computed Tomography (micro-XRCT) scan data sets (reconstructed and projection images) of a marine limestone sample under different triaxial loading conditions. The loading conditions were applied to establish the initial conditio... |
Ruf, Matthias; Steeb, Holger, 2023, "In situ micro-XRCT data sets of an open-cell polyurethane foam sample under combined loading conditions (compression + torsion, tension)", https://doi.org/10.18419/darus-2834, DaRUS, V1, UNF:6:mBGU8dC4irutNHDUz0h2Kg== [fileUNF]
This dataset contains eight micro X-ray Computed Tomography (micro-XRCT) scan data sets (projection, reconstructed, and binarized images, respectively) of the identical open-cell reticulated polyurethane (PUR) foam sample with 10 pores per inch under different loads. The initial... |
