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1 to 10 of 65 Results
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...
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 con...
PN3-5(Universität Stuttgart)
Feb 16, 2024Chair of Material Theory
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) equa...
SPP2311: Ultrasound Neuromodulation(University of Stuttgart)
Nov 10, 2023Chair of Material Theory
Ultrasonic neuromodulation (UNM) is among the most significant new technologies being developed for human neuroscience because it can provide non-invasive control of neural activity in deep-brain regions with millimeter spatial precision and has elicited a surge of recent interes...
Chair of Material Theory(University of Stuttgart)
Nov 10, 2023
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....
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 p...
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 designe...
Publication: Development of stochastically reconstructed 3D porous media micromodels using additive manufacturing: numerical and experimental validation(University of Stuttgart)
Sep 4, 2023Publications
This dataverse includes the underlying measurment and simulation data of the publication: Lee, D., Ruf, M., Karadimitriou, N., Steeb, H., Manousidaki, M., Varouchakis, E.A., Tzortzakis, S., & Yiotis, A. (2023). Development of stochastically reconstructed 3D porous media micromode...
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