AI for tribology: Present and future

AI for tribology: Present and future

Abstract With remarkable learning capabilities and swift operational speeds, artificial intelligence (AI) can assist researchers in swiftly extracting valuable patterns, trends, and associations from subjective information. Tribological behaviors are characterized by dependence on systems, evolution...

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Bibliographic Details
Main Authors: Nian Yin, Pufan Yang, Songkai Liu, Shuaihang Pan, Zhinan Zhang
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Friction
Subjects:
artificial intelligence (AI)
tribology
machine learning
tribo-informatics
AI for tribology
Online Access:https://doi.org/10.1007/s40544-024-0879-2

Internet

https://doi.org/10.1007/s40544-024-0879-2

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