| POLYMERS AND POLYMER MATRIX COMPOSITES |
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| Research Advances in Emerging Organic-Inorganic Hybrid Memristive Materials for Artificial Synapse and Neuromorphic Computing Applications |
| SHI Chunyan1, ZHANG Cheng1,*, BI Ran1, LI Yixiang1, HE Ruiyu1, YUAN Junwei2, LI Yang1,*
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1 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 215009, Jiangsu, China
2 School of Chemistry and Life Sciences, Suzhou University of Science and Technology,Suzhou 215009, Jiangsu, China |
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Abstract Memristor-based neuromorphic computing has been sought both in academia and industry, due to its promise to solve the computational bottleneck in the post-Moore era. Realizing brain-inspired memristors and artificial synaptic devices with robust stability and low power consumption has become a significant research topic now. In recent years, organic-inorganic hybrid materials, such as Carbon dots, MXenes, Me-tal-organic frameworks, Perovskites, etc. have emerged as potential candidates for optoelectronic synapses and neuromorphic computing applications. Herein, this summary demonstrates the development of four representative organic-inorganic hybrid memristive materials, systematically concludes the memristor concept, device architecture, structure-property relationship, working mechanism, prospective applications, and urgent challenges. This work is anticipated to enhance the comprehension of the integrated memristor device, low-energy quantum computing, brain-computer interaction and more complex human sensory perceptual system.
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Published: 25 July 2025
Online: 2025-07-29
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