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Hierarchical Data Format - 645.0 MB -
MD5: c81ec8fe5f7e3c98c597a24fb80fa1f1
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Hierarchical Data Format - 39.9 KB -
MD5: 44e488e100c92aba5987f5b2e510d5b2
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Mar 6, 2023
Lißner, Julian, 2023, "Microstructure feature engineering data", https://doi.org/10.18419/DARUS-3366, DaRUS, V1
The dataset contains image data of periodic microstructural representative volume elements (RVE), as well as the effective heat conductivity for multiple phase contrasts. Various features and feature descriptors (explained in the related publication) are provided, as well as the computation thereof. The features were used in a machine learning regr... |
Mar 6, 2023 -
Microstructure feature engineering data
Python Source Code - 2.1 KB -
MD5: 59a5a37eb3aa95980483fca18fbb4604
exemplary script to access the data |
Mar 6, 2023 -
Microstructure feature engineering data
Python Source Code - 14.6 KB -
MD5: 4643b4eac73889b050fb1059b7c5c6dd
loader object to use for easy data access |
Mar 6, 2023 -
Microstructure feature engineering data
Hierarchical Data Format - 199.9 MB -
MD5: 2526748b927fb0775b4cc1fa55945502
storage of the data |