Controlled oxygen vacancy electrode reservoir for robust WO3-based memory devices

Abstract Oxide-based memristors are promising candidates as neuromorphic hardware in energy-efficient edge computing applications for the Internet of Things (IoT). However, achieving simultaneously optimized memristive and synaptic performance with low-temperature fabrication, compatible with complementary metal-oxide-semiconductor (CMOS) processes, remains a challenge. Here, we demonstrate a dual-function electrode selection strategy—controlled oxygen vacancy electrode reservoir—implemented in a simple, low-temperature-fabricated indium tin oxide (ITO)/WO 3 /TiN thin film system. We systematically vary the oxygen stoichiometry in the ITO top electrode, which serves not only as an electrical contact, but also as a dynamic oxygen reservoir. A high oxygen-vacancy concentration in the ITO enables optimized memristive performance of low electroforming and operation voltages, and robust memristive and synaptic endurance. This electrode-focused defect engineering approach offers a versatile route to advanced memristor design, enabling many applications in IoT and neuromorphic systems.

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Publication Details

Journal
Communications Materials
Published
2026-04-06
DOI
https://doi.org/10.1038/s43246-026-01143-8
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Controlled oxygen vacancy electrode reservoir for robust WO3-based memory devices

Caterina Ducati, Atif Jan, Bipin Rajendran, Xinjuan Li et al.
Communications Materials
Advanced Memory and Neural Computing
article

Controlled oxygen vacancy electrode reservoir for robust WO3-based memory devices

Caterina Ducati, Atif Jan, Bipin Rajendran, Xinjuan Li, Babak Bakhit, Giuliana Di Martino, Markus Hellenbrand, Abin Varghese, Jiahao Lu, Judith Louise MacManus-Driscoll, Yi-Xuan Liu, Ziyi Yuan
article en

Abstract

Abstract Oxide-based memristors are promising candidates as neuromorphic hardware in energy-efficient edge computing applications for the Internet of Things (IoT). However, achieving simultaneously optimized memristive and synaptic performance with low-temperature fabrication, compatible with complementary metal-oxide-semiconductor (CMOS) processes, remains a challenge. Here, we demonstrate a dual-function electrode selection strategy—controlled oxygen vacancy electrode reservoir—implemented in a simple, low-temperature-fabricated indium tin oxide (ITO)/WO 3 /TiN thin film system. We systematically vary the oxygen stoichiometry in the ITO top electrode, which serves not only as an electrical contact, but also as a dynamic oxygen reservoir. A high oxygen-vacancy concentration in the ITO enables optimized memristive performance of low electroforming and operation voltages, and robust memristive and synaptic endurance. This electrode-focused defect engineering approach offers a versatile route to advanced memristor design, enabling many applications in IoT and neuromorphic systems.

Communications Materials
Linköping University (SE), King's College London (GB), University of Cambridge (GB), Thinfilm (Sweden) (SE)
UK Research and Innovation, Royal Academy of Engineering, Vetenskapsrådet, Horizon 2020 Framework Programme, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 23%
Advanced Memory and Neural Computing
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