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Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

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Unveiling the Role of Side Chain for Improving Nonvolatile Characteristics of Conjugated Polymers-Based Artificial

Junho Sung¹, Sein Chung², Yongchan Jang³

¹Department of Chemical Engineering, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|February 26, 2024

Abstract:

Interest has grown in services that consume a significant amount of energy, such as large language models (LLMs), and research is being conducted worldwide on synaptic devices for neuromorphic hardware. However, various complex processes are problematic for the implementation of synaptic properties. Here, synaptic characteristics are implemented through a novel method, namely side chain control of conjugated polymers. The developed devices exhibit the characteristics of the biological brain, especially spike-timing-dependent plasticity (STDP), high-pass filtering, and long-term potentiation/depression (LTP/D). Moreover, the fabricated synaptic devices show enhanced nonvolatile characteristics, such as long retention time (≈10² s), high ratio of G_max/G_min, high linearity, and reliable cyclic endurance (≈10³ pulses). This study presents a new pathway for next-generation neuromorphic computing by modulating conjugated polymers with side chain control, thereby achieving high-performance synaptic properties.

Keywords:

artificial synapse electrolyte‐gated transistor long‐term plasticity neuromorphic computing side chain

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