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A physics-informed multi-agents model to predict thermo-oxidative/hydrolytic aging of elastomers

A. Ghaderi, Vahid Morovati, Yang Chen, Roozbeh Dargazany

2022International Journal of Mechanical Sciences41 citationsDOIOpen Access PDF

Topics & Concepts

Benchmark (surveying)Consistency (knowledge bases)Matrix (chemical analysis)Computer scienceReduction (mathematics)Artificial neural networkSet (abstract data type)Materials scienceArtificial intelligenceMathematicsComposite materialProgramming languageGeographyGeometryGeodesyElasticity and Material ModelingModel Reduction and Neural NetworksRheology and Fluid Dynamics Studies
A physics-informed multi-agents model to predict thermo-oxidative/hydrolytic aging of elastomers | Litcius