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

Maghami, Ali, Stender, Merten, Papangelo, Antonio

DOI: 10.15480/882.15782
Published: 2025
Container: Not recorded
Publisher: Elsevier
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.15480/882.15782,
  title = {Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning},
  author = {Maghami, Ali and Stender, Merten and Papangelo, Antonio},
  year = {2025},
  doi = {10.15480/882.15782},
  url = {https://doi.org/10.15480/882.15782}
}

RIS

TY  - JOUR
TI  - Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning
AU  - Maghami, Ali
AU  - Stender, Merten
AU  - Papangelo, Antonio
PY  - 2025
DO  - 10.15480/882.15782
UR  - https://doi.org/10.15480/882.15782
ER  -

APA

Ali, M., Merten, S., & Antonio, P. (2025). Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning. https://doi.org/10.15480/882.15782

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datacite · retrieved 2026-11-10T07:18:39.291Z