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20182026
most citedEstablishing a common data base of ice experiments and using machine learning to understand and predict ice behavior

37 citations · 107 across the 18 of their papers we have counts for

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cond-mat.mtrl-sci2025

Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning

Ali Maghami, Merten Stender, Antonio Papangelo

Understanding and predicting the adhesive properties of viscoelastic Hertzian contacts is crucial for diverse engineering applications, including robotics, biomechanics, and advanc…