石墨烯
神经形态工程学
材料科学
水溶液
纳米技术
化学物理
质子
渗透
石墨烯纳米带
膜
化学
计算机科学
物理
有机化学
生物化学
量子力学
机器学习
人工神经网络
作者
Yongkang Wang,Takakazu Seki,Paschalis Gkoupidenis,Yunfei Chen,Yuki Nagata,Mischa Bonn
标识
DOI:10.1073/pnas.2314347121
摘要
Memristive devices, electrical elements whose resistance depends on the history of applied electrical signals, are leading candidates for future data storage and neuromorphic computing. Memristive devices typically rely on solid-state technology, while aqueous memristive devices are crucial for biology-related applications such as next-generation brain-machine interfaces. Here, we report a simple graphene-based aqueous memristive device with long-term and tunable memory regulated by reversible voltage-induced interfacial acid-base equilibria enabled by selective proton permeation through the graphene. Surface-specific vibrational spectroscopy verifies that the memory of the graphene resistivity arises from the hysteretic proton permeation through the graphene, apparent from the reorganization of interfacial water at the graphene/water interface. The proton permeation alters the surface charge density on the CaF 2 substrate of the graphene, affecting graphene’s electron mobility, and giving rise to synapse-like resistivity dynamics. The results pave the way for developing experimentally straightforward and conceptually simple aqueous electrolyte-based neuromorphic iontronics using two-dimensional (2D) materials.
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