Iontronics of nanofluidic conical pores: learning phenomena using voltage pulses

Sergio Portillo; Javier Cervera; José A. Manzanares; Juan Bisquert; Salvador Mafé; P. Ramirez

doi:10.1039/d6nr00934d

January 1, 2026NanoscaleOpen Access

Iontronics of nanofluidic conical pores: learning phenomena using voltage pulses

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Key Points

The research aims to explore the conductance memory effects in nanofluidic memristors and their potential use in neuromorphic computing.
Utilized voltage pulses to assess conductance memory effects in nanofluidic memristors.
Analyzed data to determine how these systems mimic brain synapse behavior.
Observed significant conductance memory effects under varying voltage conditions.
Demonstrated potential for using memristors in neuromorphic computing applications.

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...

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Portillo et al. (2026) studied this question.

synapsesocial.com/papers/6a363147db0793dc1a5383d0 https://doi.org/10.1039/d6nr00934d

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Iontronics of nanofluidic conical pores: learning phenomena using voltage pulses

Key Points

Abstract

Discussion

Cite This Study

Iontronics of nanofluidic conical pores: learning phenomena using voltage pulses

Key Points

Abstract

Discussion

Cite This Study

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