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January 23, 2026Faraday Discussions0 citationsOpen Access

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

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TKT. M. KamsmaYGYewen GuCSCristian Spitoni

Key Points

  • The aim is to explore energy-efficient time series processing using fluidic iontronic memristor circuits.
  • Investigated iontronic neuromorphic computing paradigms
  • Analyzed power consumption and memory dynamics
  • Used angstrom-confined devices for testing
  • Achieved ultra-low power operations
  • Demonstrated alignment of dynamics and memory timescales
  • Showed potential for real-time processing capabilities

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...

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Cite This Study

Kamsma et al. (2026) studied this question.

synapsesocial.com/papers/69730f59c8125b09b0d1f197https://doi.org/10.1039/d5fd00168d
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