Litcius/Paper detail

Using supervised machine learning methods to predict microfiber alignment and electrical conductivity of polymer matrix composite materials fabricated with ultrasound directed self-assembly and stereolithography

Karl Niendorf, Bart Raeymaekers

2022Computational Materials Science24 citationsDOI

Topics & Concepts

StereolithographyMaterials scienceArtificial neural networkMicrofiberComputer scienceMachine learningArtificial intelligenceComposite materialAdditive Manufacturing and 3D Printing TechnologiesAdvanced Sensor and Energy Harvesting MaterialsAdvanced MEMS and NEMS Technologies
Using supervised machine learning methods to predict microfiber alignment and electrical conductivity of polymer matrix composite materials fabricated with ultrasound directed self-assembly and stereolithography | Litcius