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124,711 to 124,720 of 125,250 Results

Reticulite_03_AxMF01.rar Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets RAR Archive - 6.7 GB - MD5: 52d6c4590ed96ed3832f1d0abe8edde2 micro-XRCT data set in .rek and .tif file format of a dry cubic reticulite sample with about 5 mm side length. 1520 x 1520 x 1522 voxels by a uniform voxel size of 4.49 µm.
Reticulite-AxHP_wet_1ml.rar Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets RAR Archive - 7.1 GB - MD5: 2c40fe472f95f8b2310f11aeb4063e55 micro-XRCT data set in .rek and .tif file format of a cubic reticulite sample with about 12 mm side length saturated with 1 ml distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.
Reticulite-AxHP_wet_500ul.rar Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets RAR Archive - 7.1 GB - MD5: 3d2845a50daec7aa067f5b1056de106b micro-XRCT data set in .rek and .tif file format of a cubic reticulite sample with about 12 mm side length saturated with 500 µl distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.
Reticulite-AxHP_wet_750ul.rar Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets RAR Archive - 7.0 GB - MD5: 78855cfc44d4ab07ef4fa49436c70823 micro-XRCT data set in .rek and .tif file format of a cubic reticulite sample with about 12 mm side length saturated with 750 µl distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.
Segmented_subsamples.rar Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets RAR Archive - 2.5 MB - MD5: f0e350647fa4fe27f8d37b0e9a0935ba Binarized subsamples of 400 x 400 x 400 voxels of "Reticulite-01_AxMF01" and "Reticulite_03_AxMF01" data sets in *.raw file format. A MATLAB script "ReadCTDataToMATLAB_simple.m" to read the data is attached.
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
PN 5-6(Universität Stuttgart) Feb 20, 2020PN 5 SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"

Reticulite_03_AxMF01.rar

Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets

RAR Archive - 6.7 GB -

micro-XRCT data set in *.rek and *.tif file format of a dry cubic reticulite sample with about 5 mm side length. 1520 x 1520 x 1522 voxels by a uniform voxel size of 4.49 µm.

Reticulite-AxHP_wet_1ml.rar

Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets

RAR Archive - 7.1 GB -

micro-XRCT data set in *.rek and *.tif file format of a cubic reticulite sample with about 12 mm side length saturated with 1 ml distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.

Reticulite-AxHP_wet_500ul.rar

Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets

RAR Archive - 7.1 GB -

micro-XRCT data set in *.rek and *.tif file format of a cubic reticulite sample with about 12 mm side length saturated with 500 µl distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.

Reticulite-AxHP_wet_750ul.rar

Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets

RAR Archive - 7.0 GB -

micro-XRCT data set in *.rek and *.tif file format of a cubic reticulite sample with about 12 mm side length saturated with 750 µl distilled water. 1520 x 1520 x 1554 voxels by a uniform voxel size of 12.85 µm.

Segmented_subsamples.rar

Mar 5, 2020 - Digital rock physics and laboratory considerations on a high-porosity volcanic rock: micro-XRCT data sets

RAR Archive - 2.5 MB -

Binarized subsamples of 400 x 400 x 400 voxels of "Reticulite-01_AxMF01" and "Reticulite_03_AxMF01" data sets in *.raw file format. A MATLAB script "ReadCTDataToMATLAB_simple.m" to read the data is attached.

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

PN 5-6(Universität Stuttgart)

Feb 20, 2020PN 5

SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"

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