Predicting Creep Failure by Machine Learning -- Which Features Matter?
收藏NIAID Data Ecosystem2026-03-14 收录
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资源简介:
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/
创建时间:
2022-10-01



