Enhancing practical modeling: A neural network approach for locally-resolved prediction of elastohydrodynamic line contacts-Reference-Cited by-同舟云学术

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Enhancing practical modeling: A neural network approach for locally-resolved prediction of elastohydrodynamic line contacts

Published:2024-11 Issue: Volume:199 Page:109988
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Kelley Josephine^ORCID,Schneider Volker^ORCID,Poll Gerhard,Marian Max^ORCID

Publisher

Elsevier BV

Reference83 articles.

1. Non-dimensional groups, film thickness equations and correction factors for elastohydrodynamic lubrication: A review;Marian;Lubricants,2020

2. Current trends and applications of machine learning in tribology—A review;Marian;Lubricants,2021

3. Physics-informed machine learning—An emerging trend in tribology;Marian;Lubricants,2023

4. The role of machine learning in tribology: A systematic review;Paturi;Arch Comput Methods Eng,2022

5. A review of recent advances and applications of machine learning in tribology;Sose;Phys Chem Chem Phys,2023

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