Organic iontronic memristors for artificial synapses and bionic neuromorphic computing.

Journal: Nanoscale
Published Date:

Abstract

To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of multistable memristors, bionic artificial synapses, logic circuits and brain-inspired neuromorphic computing. In comparison with conventional electronic systems, iontronic memristors offer greater potential for the manifestation of artificial intelligence and brain-machine interaction. Organic iontronic memristive materials (OIMs), which possess an organic backbone and exhibit stoichiometric ionic states, have emerged as pivotal contenders for the realization of high-performance bionic iontronic memristors. In this review, a comprehensive analysis of the progress and prospects of OIMs is presented, encompassing their inherent advantages, diverse types, synthesis methodologies, and wide-ranging applications in memristive devices. Predictably, the field of OIMs, as a rapidly developing research subject, presents an exciting opportunity for the development of highly efficient neuro-iontronic systems in areas such as in-sensor computing devices, artificial synapses, and human perception.

Authors

  • Yang Xia
    The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
  • Cheng Zhang
    College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
  • Zheng Xu
    Key Laboratory of Luminescence and Optical Information, Beijing Jiaotong University, Ministry of Education Beijing 100044 China zhengxu@bjtu.edu.cn ddsong@bjtu.edu.cn.
  • Shuanglong Lu
    The Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China.
  • Xinli Cheng
    Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China. liyang@usts.edu.cn.
  • Shice Wei
    School of Microelectronics, Fudan University, Shanghai, 200433, China.
  • Junwei Yuan
    School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215009, China.
  • Yanqiu Sun
    School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, Jiangsu, 215009, China.
  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.