Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

  • Dimitrios Spithouris - , Jülich Research Centre (Author)
  • Johannes Hellwig - , Jülich Research Centre (Author)
  • Hugh Greatorex - , University of Groningen (Author)
  • Clemens Wittberg - , Jülich Research Centre (Author)
  • Panagiotis Koutsogiannis - , University of Zaragoza (Author)
  • César Magén - , University of Zaragoza (Author)
  • Elisabetta Chicca - , University of Groningen (Author)
  • Regina Dittmann - , Jülich Research Centre (Author)
  • Transregio 404: Next Generation Electronics With Active Devices in Three Dimensions

Abstract

ABSTRACT Volatile memristive devices with controllable temporal dynamics enable adaptation to diverse temporal coding tasks, making them attractive for low‐power neuromorphic edge applications that process asynchronous sensory streams. However, most reported volatile memristors rely on abrupt filamentary switching, suffering from high variability, unreliable operation, and the need for current compliance and forming steps. In this work, an area‐dependent volatile memristive device based on a Pt/‐//Ta stack is presented, exhibiting ionic‐based volatility and a CMOS BEOL‐compatible process flow. The device combines low variability with forming‐free, self‐compliant, rectifying operation and gradual, analog‐like switching, achieving an ON/OFF ratio of . An in‐depth experimental and physical analysis of the mechanisms governing current transport and volatile behavior is provided. By exploiting the device's rich ionic dynamics, its volatility can be systematically tuned through applied stimulus and stack engineering, yielding decay time constants from tens of milliseconds to several seconds. A reliability study, including endurance and multilevel operation, demonstrates reproducible access to distinct volatile states. Finally, it is shown how a complete system, combining the device with spiking neuron models and CMOS circuitry, could exploit its programmable temporal dynamics for event‐based vision, with the wide range of decay constants supporting multiple sensory modalities.

Details

Original languageEnglish
Article numbere74813
JournalAdvanced materials
Publication statusE-pub ahead of print - 30 Aug 2026
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 105048973910

Keywords

Research priority areas of TU Dresden

ASJC Scopus subject areas

Keywords

  • A01, event-based sensing, tunable temporal dynamics, ionic dynamics, volatile memristive devices, area-dependent switching, neuromorphic computing