ArticleNanoscale2026
Iontronics of nanofluidic conical pores: learning phenomena using voltage pulses.
Article in Nanoscale, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
6 authors.
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Abstract
Nanofluidic memristors exhibit conductance memory effects that can be used in neuromorphic computing, an emerging technology reminiscent of the brain synapses that change their connection strength in response to electrical signals. We describe different options allowing the modulation of the nanofluidic conductance by programming series of rectangular voltage pulses of different characteristics: amplitude, duration, and frequency. The resulting history-dependent conductance allows short-term memory states and learning procedures through potentiation (connection strengthening) and depression (connection weakening) effects. In addition, electrochemical networks of nanofluidic memristors provide operational procedures to implement both logical responses and reservoir computing algorithms using different series of voltage pulses as inputs. As a proof of concept, the supervised learning of a nanofluidic memristive array allows playing a tic-tac-toe game.
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Registered trials
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