Ionic logic with highly asymmetric nanofluidic memristive switches

arXiv (Cornell University)(2023)

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摘要
While most neuromorphic systems are based on nanoscale electronic devices, nature relies on ions for energy-efficient information processing. Therefore, finding memristive nanofluidic devices is a milestone toward realizing electrolytic computers mimicking the brain down to its basic principles of operations. Here, we present a nanofluidic device designed for circuit scale in-memory processing that combines single-digit nanometric confinement and large entrance asymmetry. Our fabrication process is scalable while the device operates at the second timescale with a twenty-fold conductance ratio. It displays a switching threshold due to the dynamics of an extended space charge. The combination of these features permits assembling logic circuits composed of two interactive nanofluidic devices and an ohmic resistor. These results open the way to design multi-component ionic machinery, such as nanofluidic neural networks, and implementing brain-inspired ionic computations.
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ionic logic
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