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21 to 30 of 66 Results

POREMAPS 1.0.0: Code, Benchmarks, Applications Jun 21, 2024 - POREMAPS: Code, Benchmarks, Applications Krach, David; Ruf, Matthias; Steeb, Holger, 2024, "POREMAPS 1.0.0: Code, Benchmarks, Applications", https://doi.org/10.18419/DARUS-3676, DaRUS, V1 Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such...
Image processing code for characterization of multiphase flow in porous media May 15, 2024 - Publication: Microfluidic experiments Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Image processing code for characterization of multiphase flow in porous media", https://doi.org/10.18419/DARUS-4153, DaRUS, V1 This work utilizes microfluidic experiments to gather data captured as snapshots during the experiments. These snapshots provide real-time information and undergo image processing to derive the required data. Image processing involves several steps tailored to the investigations: Making a reference image (mask): This process involves creating a ref...
Data for: Formation of common preferential two-phase displacement pathways in porous media May 13, 2024 - Publication: Microfluidic experiments Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2024, "Data for: Formation of common preferential two-phase displacement pathways in porous media", https://doi.org/10.18419/DARUS-3358, DaRUS, V1, UNF:6:NG0rsoMQg/q3l86T4e08Dw== [fileUNF] With the use of optical microscopy, microfluidic experiments took place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, four of which are shared here. This Dataset contains the data presented in the related publication Vahid Dastjerdi et. al. (2024). Each experiment is flow-controlled and...
Primary drainage experiments and fractal dimensions Apr 18, 2024 - Publication: Microfluidic experiments Karadimitriou, Nikolaos; Lee, Dongwon; Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Primary drainage experiments and fractal dimensions", https://doi.org/10.18419/DARUS-4114, DaRUS, V1 The current repository contains raw data in the shape of images collected during a systematic laboratory study, examining the usability of the fractal dimension in the characterization of the flow regime. The study is presented in the paper by Karadimitriou et al., 2024. The two fluids were the wetting phase (WP), FluorinertTM, FC-43, and the non-w...
Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes 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 concepts of machine learning (ML) to predict the onset of wrinkling insta...
Ion Flow Through Neural Ion Membrane: scripts and data 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) equations for ion transport and is described in the related publication in...
Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel 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., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC77...
Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm 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 previous study by Psihogios et al. (2007), where the simulations were f...
micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing 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 designed using the stochastic model proposed by Quiblie (1984), Adler et al....
Visual characterization of displacement processes in porous media 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 Figures, except Figure 2, of the article. In this work, 11 experiments we...

POREMAPS 1.0.0: Code, Benchmarks, Applications

Jun 21, 2024 - POREMAPS: Code, Benchmarks, Applications

Krach, David; Ruf, Matthias; Steeb, Holger, 2024, "POREMAPS 1.0.0: Code, Benchmarks, Applications", https://doi.org/10.18419/DARUS-3676, DaRUS, V1

Initial release 1.0.0 for POREMAPS, PORous Media Anisotropic Permeability Solver for Stokes flow including benchmarks and applications according to Krach et al. (2024). POREMAPS is a Finite Difference Method (FDM) -based parallized Stokes flow solver using MPI, specifically designed to process large binarized 3D image datasets of porous media such...

Image processing code for characterization of multiphase flow in porous media

May 15, 2024 - Publication: Microfluidic experiments

Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Image processing code for characterization of multiphase flow in porous media", https://doi.org/10.18419/DARUS-4153, DaRUS, V1

This work utilizes microfluidic experiments to gather data captured as snapshots during the experiments. These snapshots provide real-time information and undergo image processing to derive the required data. Image processing involves several steps tailored to the investigations: Making a reference image (mask): This process involves creating a ref...

Data for: Formation of common preferential two-phase displacement pathways in porous media

May 13, 2024 - Publication: Microfluidic experiments

Vahid Dastjerdi, Samaneh; Karadimitriou, Nikolaos; Steeb, Holger, 2024, "Data for: Formation of common preferential two-phase displacement pathways in porous media", https://doi.org/10.18419/DARUS-3358, DaRUS, V1, UNF:6:NG0rsoMQg/q3l86T4e08Dw== [fileUNF]

With the use of optical microscopy, microfluidic experiments took place in quasi-2D artificial porous media for a variety of cyclic displacement processes and boundary conditions, four of which are shared here. This Dataset contains the data presented in the related publication Vahid Dastjerdi et. al. (2024). Each experiment is flow-controlled and...

Primary drainage experiments and fractal dimensions

Apr 18, 2024 - Publication: Microfluidic experiments

Karadimitriou, Nikolaos; Lee, Dongwon; Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Primary drainage experiments and fractal dimensions", https://doi.org/10.18419/DARUS-4114, DaRUS, V1

The current repository contains raw data in the shape of images collected during a systematic laboratory study, examining the usability of the fractal dimension in the characterization of the flow regime. The study is presented in the paper by Karadimitriou et al., 2024. The two fluids were the wetting phase (WP), FluorinertTM, FC-43, and the non-w...

Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes

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 concepts of machine learning (ML) to predict the onset of wrinkling insta...

Ion Flow Through Neural Ion Membrane: scripts and data

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) equations for ion transport and is described in the related publication in...

Pressure and volumetric flux measurements intended to scale relative permeability under steady state, co-flow conditions, in a PDMS micromodel

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., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC77...

Numerical investigation results of 3D porous structures using stochastic reconstruction algorithm

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 previous study by Psihogios et al. (2007), where the simulations were f...

micro-XRCT datasets of stochastically reconstructed 3D porous media micromodels manufactured by additive manufacturing

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 designed using the stochastic model proposed by Quiblie (1984), Adler et al....

Visual characterization of displacement processes in porous media

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 Figures, except Figure 2, of the article. In this work, 11 experiments we...

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