Litcius/Paper detail

Machine learning algorithms for deeper understanding and better design of composite adhesive joints

Isaiah Kaiser, Natalie Richards, Toshio Ogasawara, K. T. Tan

2023Materials Today Communications19 citationsDOI

Topics & Concepts

Materials scienceComposite numberRandom forestArtificial neural networkUltimate tensile strengthMode (computer interface)AdhesiveFinite element methodArtificial intelligenceStructural engineeringAlgorithmMachine learningComputer sciencePattern recognition (psychology)Composite materialEngineeringLayer (electronics)Operating systemMechanical Behavior of CompositesStructural Health Monitoring TechniquesStructural Behavior of Reinforced Concrete
Machine learning algorithms for deeper understanding and better design of composite adhesive joints | Litcius