논문 해외 국제전문학술지(SCI급) Reliable organic memristors for neuromorphic computing by predefining a localized ion-migration path in crosslinkable polymer
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2020-11
- 저자명 김민회,박혜림,김민휘,이신형
- 학술지명 NANOSCALE
- 발행처명 ROYAL SOC CHEMISTRY
- 발행국가 해외
- 논문언어 외국어
- 전체저자수 4
홈페이지논문 초록 (Abstract)
In flexible neuromorphic systems for realizing artificial intelligence, organic memristors are essential building blocks as artificial synapses to perform information processing and memory. Despite much effort to implement artificial neural networks (ANNs) using organic memristors, the reliability of these devices is inherently hampered by global ion transportation and arbitrary growth of conductive filaments (CFs). As a result, the performance of ANNs is restricted. Herein, a novel concept for confining CF growth in organic memristors is demonstrated by exploiting the unique functionality of crosslinkable polymers. This can be achieved by predefining the localized ion-migration path (LIP) in crosslinkable polymers. In the proposed organic memristor, metal cations are locally transported along the LIP. Thus, CF growth is achieved only in a confined region. A flexible memristor with an LIP exhibits a vastly improved reliability and uniformity, and it is capable of operating with high mechanical and electrical endurance. Moreover, neuromorphic arrays based on the proposed memristor exhibit 96.3% learning accuracy, which is comparable to the ideal software baseline. The proposed concept of predefining the LIP in organic memristors is expected to provide novel platforms for the advance of flexible electronics and to realize a variety of practical neural networks for artificial intelligence applications.