Hydrophobically gated memristive nanopores for neuromorphic computing

Autor: Paulo, Gonçalo, Sun, Ke, di Muccio, Giovanni, Gubbiotti, Alberto, della Rocca, Blasco Morozzo, Geng, Jia, Maglia, Giovanni, Chinappi, Mauro, Giacomello, Alberto
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Popis: Brain-inspired computing has the potential to change the current paradigm based on the von Neumann architecture, boosting machine learning applications. Signalling in our brains relies on voltage-gated ion channels, which have the electrical behaviour of memristors, a resistor with memory. We use molecular dynamics simulations, continuum models, and electrophysiological experiments to investigate the concept of a bioinspired hydrophobically gated memristive nanopore. We found that hydrophobic gating enables memory by an electrowetting mechanism, for which we formulate simple design rules. We engineered a biological nanopore, to produce the typical hysteresis cycles of a memristor. This route can be used to realise compact, economical, and flexible bioinspired memristors.
Databáze: OpenAIRE