Artificial neural network approach for predicting tunneling-induced and frequency-dependent electrical impedances of conductive polymeric composites
Daeik Jang, Taegeon Kil, H.N. Yoon, Joonho Seo, Hammad R. Khalid
Topics & Concepts
Materials scienceElectrical conductorElectrical impedanceQuantum tunnellingCarbon nanotubeAmplitudeComposite materialImpedance parametersElectrical resistivity and conductivityVoltageArtificial neural networkOptoelectronicsElectrical engineeringComputer scienceEngineeringPhysicsQuantum mechanicsMachine learningSmart Materials for ConstructionConducting polymers and applicationsAdvanced Sensor and Energy Harvesting Materials