Litcius/Paper detail

Exploitation of temporal dynamics and synaptic plasticity in multilayered ITO/ZnO/IGZO/ZnO/ITO memristor for energy-efficient reservoir computing

Muhammad Ismail, Seung Jun Lee, Maria Rasheed, Chandreswar Mahata, Sungjun Kim

2025Journal of Material Science and Technology19 citationsDOI

Topics & Concepts

MemristorReservoir computingMaterials scienceDynamics (music)Neuromorphic engineeringNanotechnologyEnergy (signal processing)OptoelectronicsComputer scienceArtificial neural networkPhysicsElectronic engineeringArtificial intelligenceAcousticsEngineeringQuantum mechanicsRecurrent neural networkAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingNeural dynamics and brain function
Exploitation of temporal dynamics and synaptic plasticity in multilayered ITO/ZnO/IGZO/ZnO/ITO memristor for energy-efficient reservoir computing | Litcius