Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits

Tim Kamsma; Yewen Gu; Cristian Spitoni; Marjolein Dijkstra; Yanbo Xie; Rene van Roij

doi:10.1039/d5fd00168d

Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics and memory timescales that intrinsically align well with...

Original language	English
Journal	Faraday Discussions
DOIs	https://doi.org/10.1039/d5fd00168d
Publication status	E-pub ahead of print - 21 Jan 2026

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title = "Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits",

abstract = "Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics and memory timescales that intrinsically align well with...",

author = "Tim Kamsma and Yewen Gu and Cristian Spitoni and Marjolein Dijkstra and Yanbo Xie and \{van Roij\}, Rene",

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AU - Kamsma, Tim

AU - Gu, Yewen

AU - Spitoni, Cristian

AU - Dijkstra, Marjolein

AU - Xie, Yanbo

AU - van Roij, Rene

PY - 2026/1/21

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N2 - Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics and memory timescales that intrinsically align well with...

AB - Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics and memory timescales that intrinsically align well with...

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DO - 10.1039/d5fd00168d

M3 - Article

SN - 1359-6640

JO - Faraday Discussions

JF - Faraday Discussions

ER -

Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits

Abstract

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