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Robust Organic Memristors for Neuromorphic Computing
Wen Li,Jiayu Li,Ye Chen,Yangzhou Qian,Jia Zhou,Mingdong Yi 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.2
Materials (IAM), Nanjing University of Posts and Telecommunications Neuromorphic computing is considered to be a new computer architecture that can break through the von Neumann bottleneck in the era of big data and artificial intelligence because of its efficient information processing capabilities. Over the last decade, organic memristors have been under the spotlight of the neuromorphic research community not only for their capability of emulating functionalities of biological synapses but also for the merits of using organic materials including low cost, solution processability, and flexibility. However, delivering stable organic memristors under ambient condition remains a significant challenge. Recently we developed robust organic memristors through the use of environmentally stable materials and the fabrication of nanostructured film. The unencapsulated devices exhibit high operational stability under harsh conditions such as high and low temperature, high humidity, etc. These results could pave the way for organic memristors in progressing their practicality.
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