Nanofluidic logic with mechano-ionic memristive switches

Theo Emmerich; Yunfei Teng; Nathan Ronceray; Edoardo Lopriore; Riccardo Chiesa; Andrey Chernev; Vasily Artemov; Massimiliano Di Ventra; Andras Kis; Aleksandra Radenovic

arXiv · 2306.07617

Nanofluidic logic with mechano-ionic memristive switches

Theo Emmerich·Yunfei Teng·Nathan Ronceray·Edoardo Lopriore·Riccardo Chiesa·Andrey Chernev·Vasily Artemov·Massimiliano Di Ventra·Andras Kis·Aleksandra Radenovic

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Abstract

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 operation. 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 conductance ratio in the range 10-60. In-operando optical microscopy unveils the origin of memory, arising from the reversible formation of liquid blisters modulating the device conductance. The combination of features of these mechano-ionic memristive switches permits assembling logic circuits composed of two interactive 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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Theo Emmerich, Yunfei Teng, Nathan Ronceray, Edoardo Lopriore, Riccardo Chiesa, Andrey Chernev, Vasily Artemov, Massimiliano Di Ventra, Andras Kis, Aleksandra Radenovic. 2023-06-13. Nanofluidic logic with mechano-ionic memristive switches. https://arxiv.org/abs/2306.07617

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