Rapid Discovery of Tribological Materials with Improved Performance Using Materials Informatics
Abstract
Data mining and materials informatics methods were applied to the search for new, high-temperature solid-state lubricant materials. A predictive model was developed that enabled the efficient high-throughput screening of inorganic materials with input from atomic-scale modeling and experimental testing. It led to the identification of new solid-state lubricants for extreme environments. The project further identified a strong dependence of inorganic material wear on the direction of sliding and the quantification of the activation energy associated with the directionality of wear.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 10, 2014
- Accession Number
- ADA604507
Entities
People
- Susan B. Sinnott
Organizations
- University of Florida