# The Use of Artificial Intelligence in Tribology—A Perspective

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-use-of-artificial-intelligence-in-tribology-a-perspective/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andreas Rosenkranz,Max Marian,Francisco J. Profito,Nathan Aragon,Raj Shah |
| Citations | 177 |
| DOI | 10.3390/lubricants9010002 |
| Fields | Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4442/9/1/2/pdf?version=1609119108 |
| OpenAlex ID | https://openalex.org/W3113471983 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Francisco J. Profito](https://scholariq.org/researchers/francisco-j-profito/)

## Paper journal

- [Lubricants](https://scholariq.org/journals/lubricants/)

## Paper primary topic

- [Lubricants and Their Additives](https://scholariq.org/topics/lubricants-and-their-additives/)

## Paper topics

- [Lubricants and Their Additives](https://scholariq.org/topics/lubricants-and-their-additives/)
- [Tribology and Lubrication Engineering](https://scholariq.org/topics/tribology-and-lubrication-engineering/)
- [Tribology and Wear Analysis](https://scholariq.org/topics/tribology-and-wear-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.