journal article·2024-05Open access

Inkjet‐Printed Tungsten Oxide Memristor Displaying Non‐Volatile Memory and Neuromorphic Properties

Hongrong Hu, Alexander Scholz, Christian Dolle, Alexander Zintler, Aina Quintilla, Yan Liu, Yushu Tang, Ben Breitung, Gabriel Cadilha Marques, Yolita M. Eggeler, Jasmin Aghassi‐Hagmann

Advanced Functional Materials· Volume 34· Issue 20

Abstract

Abstract Printed electronics including large‐area sensing, wearables, and bioelectronic systems are often limited to simple circuits and hence it remains a major challenge to efficiently store data and perform computational tasks. Memristors can be considered as ideal candidates for both purposes. Herein, an inkjet‐printed memristor is demonstrated, which can serve as a digital information storage device, or as an artificial synapse for neuromorphic circuits. This is achieved by suitable manipulation of the ion species in the active layer of the device. For digital‐type memristor operation resistive switching is dominated by cation movement after an initial electroforming step. It allows the device to be utilized as non‐volatile digital memristor, which offers high endurance over 12 672 switching cycles and high uniformity at low operating voltages. To use the device as an electroforming‐free, interface‐based, analog‐type memristor, anion migration is exploited which leads to volatile resistive switching. An important figure of merits such as short‐term plasticity with close to biological synapse timescales is demonstrated, for facilitation (10–177 ms), augmentation (10s), and potentiation (35 s). Furthermore, the device is thoroughly studied regarding its metaplasticity for memory formation. Last but not least, the inkjet‐printed artificial synapse shows non‐linear signal integration and low‐frequency filtering capabilities, which renders it a good candidate for neuromorphic computing architectures, such as reservoir computing.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neural dynamics and brain function

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) 76344 Eggenstein‐Leopoldshafen Germany

Laboratory for Electron Microscopy (LEM) Microscopy of Nanoscale Structures and Mechanisms (MNM) Karlsruhe Institute of Technology (KIT) 76131 Karlsruhe Germany

Nanostructure Service Laboratory (NSL) Karlsruhe Institute of Technology (KIT) 76131 Karlsruhe Germany

Karlsruhe Nano Micro Facility (KNMF) Karlsruhe Institute of Technology (KIT) 76344 Eggenstein‐Leopoldshafen Germany

Funding

Deutsche Forschungsgemeinschaft

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