Published August 14, 2022
| Version 1
Dataset
Open
Predicting Creep Failure by Machine Learning -- Which Features Matter?
Authors/Creators
- 1. Friedrich-Alexander-Universität Erlangen-Nürnberg
- 2. Università degli Studi di Milano
Description
Mean, median and standard deviation of peak currents and voltages at peak current for random fuse models in a quasistatic protocol for varying sizes, disorder and hierarchical/nonhierarchical architecture.
This data belongs to this arxiv preprint:
https://arxiv.org/abs/2208.06923
which will (hopefully) be published in Forces in Mechanics. The code used to generate this data can be found here:
https://simlab.ww.uni-erlangen.de/publications/predicting-creep-failure-by-machine-learning/
Files
stat-data.json
Files
(16.4 kB)
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