A physics-augmented machine learning model trained on 8,900 numerical contact simulations predicts viscoelastic pull-off force and work-to-pull-off across Tabor parameter, material spectrum, preload, and unloading rate.
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Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning
A physics-augmented machine learning model trained on 8,900 numerical contact simulations predicts viscoelastic pull-off force and work-to-pull-off across Tabor parameter, material spectrum, preload, and unloading rate.