Prediction of creep failure time using machine learning
<p>Dataset from an elastoplastic element creep model with disorder from this publication:</p> <p>https://www.nature.com/articles/s41598-020-72969-6#author-information</p> <p>The data contains different disorder parameters, applied stresses and system sizes. Each sample is described by a csv file with four columns: The first one is a running index from zero to the number of rows in the file minus one, the second one is the number of relaxation steps performed (check the publication what this means), the third one is the index of the element being relaxed/failing and the fourth is a time increment. To get the total time, simply sum up the time increments. For information, please contact Soumyayajyoti Biswas.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4
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