Rapid Discovery of Tribological Materials with Improved Performance Using Materials Informatics
Final rept. 1 Jan 2010-31 Dec 2013
FLORIDA UNIV GAINESVILLE DEPT OF MATERIALS SCIENCE AND ENGINEERING
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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.
- Inorganic Chemistry
- Lubricants and Hydraulic Fluids