Kim, Sohwi Yoon, Chansoo Yim, Haena Kim, Taeyoon Suh, Hoyoung Ryu, Woohyeon Oh, Gwangtaek Jeon, Jihoon Oh, Kwanyoung Jeong, Yeonjoo Choi, Ji-Won Park, Bae Ho 2026-02-05T06:30:04Z 2026-02-05T06:30:04Z 2026-02-05 2026-02 https://pubs.kist.re.kr/handle/201004/154227 Memristors based on 2D materials are promising for compact and energy-efficient neuromorphic hardware. However, conventional devices require paired elements to implement bidirectional weight updates, such as spike-timing-dependent plasticity (STDP) and anti-STDP for supervised spiking neural networks (SNN) such as the remote supervised method. Here, an Au/Ti/2D Sr2Nb3O10 perovskite-oxide nanosheet (SNO PON)/Pt memristor is demonstrated that exhibits dual bipolar resistive switching, supporting clockwise (interface) and counter-clockwise (filament) switching. Ultrathin (≈5 nm) SNO PONs, fabricated over wafer-scale areas by Langmuir–Blodgett deposition, serve as dynamic reservoirs for oxygen ions and vacancies. Voltage-induced redox reactions at the Ti electrode are accompanied by the formation of oxygen vacancies in the SNO, as confirmed through cross-sectional transmission electron microscopy and electron energy-loss spectroscopy. The memristor exhibits stable resistance states with >103 s retention and <0.2 V set variation across 30 cells. Bidirectional plasticity under dual-polarity pulse trains replicates STDP/anti-STDP rules, enabling a 3 × 3 array to encode pixel patterns with opposite-polarity pulses. A leaky integrate-and-fire SNN model achieves 86.4 % accuracy on the MNIST dataset using identical pre- and post-synaptic spike waveforms. These findings establish dual bipolar 2D memristors as scalable and efficient components for high-density, simplified supervised SNN hardware. English Wiley-VCH Verlag Dual Bipolar Resistive Switching in Wafer-Scalable 2D Perovskite Oxide Nanosheets-Based Memristor Article 10.1002/advs.202517588 1 Advanced Science, v.13, no.11 Advanced Science 13 11 Y scie scopus 2-s2.0-105023972516 Chemistry, Multidisciplinary Nanoscience & Nanotechnology Materials Science, Multidisciplinary Chemistry Science & Technology - Other Topics Materials Science Article; Early Access nanosheets neuromorphic computing remote supervised method spike-timing-dependent plasticity dual bipolar resistive switching