Optically Tuneable Memristors Based on Au NP–PDR1A Nanocomposites Probed by Impedance Spectroscopy
ABSTRACT Optical memristors are promising building blocks for neuromorphic vision systems because they can emulate retina‐like adaptive signal processing. However, the development of practical devices remains limited by an incomplete understanding of the coupled electrical–optical responses and the mechanisms governing switching. In this work, gold nanoparticles (Au NPs) were dispersed in poly(disperse red 1 acrylate) (PDR1A) to form a photo‐responsive composite that was used to fabricate optical memristor devices via a simple solution‐based process. The optoelectronic behavior was systematically investigated using impedance spectroscopy to probe charge‐transport dynamics and interfacial processes under operating conditions, complementing structural TEM imaging studies that reveals the underlying morphology. The devices exhibit light‐tuneable resistive–capacitive switching, with a transition from purely capacitive behavior in pristine PDR1A devices to coupled resistive–capacitive transport in Au NP:PDR1A composites. Impedance analysis indicates trap‐mediated conduction together with nanoparticle‐assisted conductive pathways that are dynamically modulated by light‐induced photomechanical expansion and contraction of the polymer matrix. Equivalent‐circuit modeling further clarifies the resistive–capacitive interplay responsible for optically controlled switching. These findings provide mechanistic insight into light‐responsive memristive behavior and establish a framework for the design of optically tuneable memristive devices for neuromorphic computing and vision applications.
Authors
- Ioannis Messaris (ORCID: https://orcid.org/0000-0002-4286-6553)
- Ronald Tetzlaff (ORCID: https://orcid.org/0000-0001-7436-0103)
- Alina Muravitskaya (ORCID: https://orcid.org/0000-0003-1977-8499)
- Neil Timothy Kemp (ORCID: https://orcid.org/0000-0002-1906-4608)
- Ayoub H. Jaafar (ORCID: https://orcid.org/0000-0001-7305-4542)
- Ali M. Adawi (ORCID: https://orcid.org/0000-0001-6850-5679)
- Craig Venables (ORCID: https://orcid.org/0009-0006-6404-4346)
- Chris Carter
Institutions
- University of Jordan (JO)
- University of Nottingham (GB)
- University of Hull (GB)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- Advanced Materials Technologies
- Published
- 2026-10-08
- DOI
- https://doi.org/10.1002/admt.71388
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00