DaRUS

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This is the Data Repository of the University of Stuttgart.

SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"

SFB 1333 "Molecular heterogeneous catalysis in confined geometries"

Institute of Biochemistry

Institute of Applied Mechanics (MIB)

Institute of Thermodynamics and Thermal Process Engineering

Stuttgart Center for Simulation Science (SC SimTech)

Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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2,581 to 2,590 of 2,669 Results

Expansin Engineering Database(Universität Stuttgart) Apr 2, 2020Bioinformatics Supporting information and original files for bioinformatic investigations using the Expansin Engineering Database (https://exed.biocatnet.de/)
Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization' Mar 20, 2020 - Molecular Simulation Kraus, Hamzeh; Rybka, Julia, 2019, "Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization'", https://doi.org/10.18419/DARUS-477, DaRUS, V2 This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology and simulation parameter-files are provided for two simulations - an unmodified pore with a silanol surface and a modified pore with an unpolar DMDMS surface. Furthermore each pore has two catalytic centers placed point-symmetr...
MiMiCry SPP 2170(Universität Stuttgart) Mar 12, 2020SPP 2170 InterZell
micro-XRCT data set of open-pored asphalt concrete Mar 12, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of open-pored asphalt concrete", https://doi.org/10.18419/DARUS-639, DaRUS, V1 micro-XRCT data set (projection and reconstructed images) resulting from a region of interest scan (diameter 48.41 mm, height 35.46 mm) located in the center of an open-pored asphalt concrete core with 100 mm diameter and 50 mm length.
Publication: An open, modular, and flexible micro X-ray computed tomography system for research(Universität Stuttgart) Mar 10, 2020Publications This dataverse includes the micro-XRCT data sets which are presented in: Ruf, M., & Steeb, H. (2020). An open, modular, and flexible micro X-ray computed tomography system for research. Review of Scientific Instruments, 91(11), 113102. https://doi.org/10.1063/5.0019541
Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets Mar 5, 2020 - Publication: Digital rock physics and laboratory considerations on a high-porosity volcanic rock Schepp, Laura L.; Ahrens, Benedikt; Balcewicz, Martin; Duda, Mandy; Nehler, Mathias; Osorno, Maria; Uribe, David; Steeb, Holger; Nigon, Benoit; Stöckhert, Ferdinand; Swanson, Donald A.; Siegert, Mirko; Gurris, Marcel; Saenger, Erik H.; Ruf, Matthias, 2020, "Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets", https://doi.org/10.18419/DARUS-680, DaRUS, V1 Reticulite (high-porosity volcanic rock) is a pyroclastic rock formed during intense Hawaiian fountaining events. The honeycombed network of bubbles is supported by glassy threads and forms a structure with a porosity of more than 80 %. It is an end-member for high-porosity materials with a high stiffness and brittleness. For this specific material...
Publication: Digital rock physics and laboratory considerations on a high-porosity volcanic rock(Universität Stuttgart) Feb 26, 2020Publications This dataverse includes the micro-XRCT data sets which are investigated and described in: Schepp, L.L., Ahrens, B., Balcewicz, M., Duda, M., Nehler, M., Osorno, M., Uribe, D., Steeb, S., Nigon, B., Stöckhert, F., Swanson, D.A., Siegert, M., Gurris, M. & Saenger, E.H. (2020). Digital rock physics and laboratory considerations on a high-porosity volc...
Publications(Universität Stuttgart) Feb 26, 2020Chair of Continuum Mechanics
Institute of Applied Mechanics (MIB)(Universität Stuttgart) Feb 26, 2020
PINN Dynamic System(Universität Stuttgart) Feb 20, 2020PN 5-6 This dataverse contains dataset and codes for the submitted publication: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W. (2020): Physics-inspired Artificial Neural Network structure improves prediction: Application to a Thermochemical Energy Storage System

Expansin Engineering Database(Universität Stuttgart)

Apr 2, 2020Bioinformatics

Supporting information and original files for bioinformatic investigations using the Expansin Engineering Database (https://exed.biocatnet.de/)

Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization'

Mar 20, 2020 - Molecular Simulation

Kraus, Hamzeh; Rybka, Julia, 2019, "Supplementary material for 'Olefin metathesis in confined geometries: a biomimetic approach towards selective macrocyclization'", https://doi.org/10.18419/DARUS-477, DaRUS, V2

This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology and simulation parameter-files are provided for two simulations - an unmodified pore with a silanol surface and a modified pore with an unpolar DMDMS surface. Furthermore each pore has two catalytic centers placed point-symmetr...

MiMiCry SPP 2170(Universität Stuttgart)

Mar 12, 2020SPP 2170 InterZell

micro-XRCT data set of open-pored asphalt concrete

Mar 12, 2020 - Publication: An open, modular, and flexible micro X-ray computed tomography system for research

Ruf, Matthias; Steeb, Holger, 2020, "micro-XRCT data set of open-pored asphalt concrete", https://doi.org/10.18419/DARUS-639, DaRUS, V1

micro-XRCT data set (projection and reconstructed images) resulting from a region of interest scan (diameter 48.41 mm, height 35.46 mm) located in the center of an open-pored asphalt concrete core with 100 mm diameter and 50 mm length.

Publication: An open, modular, and flexible micro X-ray computed tomography system for research(Universität Stuttgart)

Mar 10, 2020Publications

This dataverse includes the micro-XRCT data sets which are presented in: Ruf, M., & Steeb, H. (2020). An open, modular, and flexible micro X-ray computed tomography system for research. Review of Scientific Instruments, 91(11), 113102. https://doi.org/10.1063/5.0019541

Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets

Mar 5, 2020 - Publication: Digital rock physics and laboratory considerations on a high-porosity volcanic rock

Schepp, Laura L.; Ahrens, Benedikt; Balcewicz, Martin; Duda, Mandy; Nehler, Mathias; Osorno, Maria; Uribe, David; Steeb, Holger; Nigon, Benoit; Stöckhert, Ferdinand; Swanson, Donald A.; Siegert, Mirko; Gurris, Marcel; Saenger, Erik H.; Ruf, Matthias, 2020, "Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets", https://doi.org/10.18419/DARUS-680, DaRUS, V1

Reticulite (high-porosity volcanic rock) is a pyroclastic rock formed during intense Hawaiian fountaining events. The honeycombed network of bubbles is supported by glassy threads and forms a structure with a porosity of more than 80 %. It is an end-member for high-porosity materials with a high stiffness and brittleness. For this specific material...

Publication: Digital rock physics and laboratory considerations on a high-porosity volcanic rock(Universität Stuttgart)

Feb 26, 2020Publications

This dataverse includes the micro-XRCT data sets which are investigated and described in: Schepp, L.L., Ahrens, B., Balcewicz, M., Duda, M., Nehler, M., Osorno, M., Uribe, D., Steeb, S., Nigon, B., Stöckhert, F., Swanson, D.A., Siegert, M., Gurris, M. & Saenger, E.H. (2020). Digital rock physics and laboratory considerations on a high-porosity volc...

Publications(Universität Stuttgart)

Feb 26, 2020Chair of Continuum Mechanics

Institute of Applied Mechanics (MIB)(Universität Stuttgart)

Feb 26, 2020

PINN Dynamic System(Universität Stuttgart)

Feb 20, 2020PN 5-6

This dataverse contains dataset and codes for the submitted publication: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W. (2020): Physics-inspired Artificial Neural Network structure improves prediction: Application to a Thermochemical Energy Storage System

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