Ionic Landscape Engineering via Perovskite Quantum Dots for Reliable and Energy-Efficient Perovskite Memristors

layer, passivating interfacial defects and promoting structural reorganization at the interface. The optimized device exhibits highly uniform switching and a considerable reduction in SET power consumption from 37.57 to 2.52 μW. Object-detection simulations demonstrate that while the control device suffers an accuracy loss of 17.9%, the QD-incorporated device maintains robust performance with only a 2.8% loss in accuracy over 2,000 cycles. These results establish QD-driven defect engineering as a robust pathway for developing reliable components for future neuromorphic systems.