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Part 1: Document Description
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Citation |
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Title: |
2d microstructure data |
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Identification Number: |
doi:10.18419/darus-1151 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2020-11-19 |
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Version: |
2 |
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Bibliographic Citation: |
Lißner, Julian, 2020, "2d microstructure data", https://doi.org/10.18419/darus-1151, DaRUS, V2 |
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Citation |
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Title: |
2d microstructure data |
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Identification Number: |
doi:10.18419/darus-1151 |
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Authoring Entity: |
Lißner, Julian (Universität Stuttgart) |
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Distributor: |
DaRUS |
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Access Authority: |
Lißner, Julian |
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Access Authority: |
Felix Fritzen |
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Depositor: |
Lißner, Julian |
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Date of Deposit: |
2021-02-08 |
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Holdings Information: |
https://doi.org/10.18419/darus-1151 |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, microstructure, representative volume element (RVE), homogenization, effective properties, regression |
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Abstract: |
The hdf5 file contains image data of inclusion based microstructured material and the homogenized effective heat conductivity thereof. The microstructure is defined with a representative volume element with periodic boundary conditions. 30.000 images are contained and split into two inclusion subclasses of circular and rectangular inclusions. Features computed via the 2-point correlation function can be found. The features and effective properties have been used for a regression problem in the related paper. Example code to access the data and recreate the features is attached. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Materials |
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<a href="https://github.com/J-lissner/image-property-linkage">Surrogate model - application GUI</a> [100 MiB] |
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Related Publications |
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Citation |
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Title: |
Lißner, Julian, and Felix Fritzen. "Data-Driven Microstructure Property Relations." Mathematical and Computational Applications 24.2 (2019): 57. |
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Identification Number: |
10.3390/mca24020057 |
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Bibliographic Citation: |
Lißner, Julian, and Felix Fritzen. "Data-Driven Microstructure Property Relations." Mathematical and Computational Applications 24.2 (2019): 57. |
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Label: |
2d_microstructures.h5 |
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Text: |
hdf5 file containing all the data |
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Notes: |
application/x-h5 |
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Label: |
compute_regression_data.py |
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Text: |
code to recompute/reproduce the data used for the regression problem |
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Notes: |
text/x-python |
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Label: |
example_data_access.py |
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Text: |
an example on how to access data stored in the hdf5 file |
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Notes: |
text/x-python |
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Label: |
processing_functions.py |
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Text: |
dependency file for 'compute_regression_data.py' |
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Notes: |
text/x-python |