Memristors are considered top candidates for non-volatile memory and advanced computing technologies, and their research has become a hot topic. The development of polymers and two-dimensional (2D) materials as functional layer materials for memristors with high-performance resistive switching properties has been extensively studied in recent years. As a novel nanoelectronic device, memristors have demonstrated significant applications in post-Moore's electronics. In particular, because memristors can effectively overcome the von Neumann computing architecture and simulate the brain's operational patterns, they can realize neuromorphic computing, providing hardware support for the development of neuromorphic chips.
Associate Professor Yang Feng of Southwest Jiaotong University, Professor Wang Dan of Beijing University of Chemical Technology, and Professor Sun Bai of Xi'an Jiaotong University have conducted research on the fabrication of organic memristors and their related applications in logic operations. Their recent research paper was published in the high-level SCI journal *ACS Appl. Mater. Interfaces* (impact factor 9.5), with the first author being master's student Diao Yangmin. In this research, the authors used graphene-doped polyvinyl alcohol (PVA) composite material as the functional layer of a memristor to fabricate a memristor device. This memristor device exhibits excellent resistive switching performance at room temperature, with good retention and a relatively large ON/OFF ratio, and enables good logic operations. These performance characteristics can be attributed to trap-induced carrier capture and decapture. Furthermore, the device demonstrates stable bipolar resistive switching behavior over a moderate temperature range. This work provides insights into the transport mechanisms of polymer-based memristors and the reasons for their instability at high temperatures, and demonstrates the potential applications of PVA-Gr-based polymer memristors as logic circuit units in integrated circuits and artificial intelligence.
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