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Robust Resistive Memory Devices Using Solution-Processable Metal-Coordinated Azo-aromatics

TLDR
In situ Raman and ultraviolet-visible spectroscopy alongside spectroelectrochemistry and quantum chemical calculations demonstrate that the redox state of the ligands determines the switching states of the device whereas the counterions control the hysteresis, which may accelerate the technological deployment of organic resistive memories.
Abstract
Non-volatile memories will play a decisive role in the next generation of digital technology. Flash memories are currently the key player in the field, yet they fail to meet the commercial demands of scalability and endurance. Resistive memory devices, and in particular memories based on low-cost, solution-processable and chemically tunable organic materials, are promising alternatives explored by the industry. However, to date, they have been lacking the performance and mechanistic understanding required for commercial translation. Here we report a resistive memory device based on a spin-coated active layer of a transition-metal complex, which shows high reproducibility (∼350 devices), fast switching (≤30 ns), excellent endurance (∼1012 cycles), stability (>106 s) and scalability (down to ∼60 nm2). In situ Raman and ultraviolet-visible spectroscopy alongside spectroelectrochemistry and quantum chemical calculations demonstrate that the redox state of the ligands determines the switching states of the device whereas the counterions control the hysteresis. This insight may accelerate the technological deployment of organic resistive memories.

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Citations
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Organic electronics for neuromorphic computing

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Neuromorphic nanoelectronic materials

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Organic and hybrid resistive switching materials and devices

TL;DR: This review presents a timely and comprehensive review of the recent advances in organic and hybrid resistive switching materials and devices, with particular attention on their design principles for electronic property tuning and flexible device performance.
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Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems

TL;DR: This work focuses on the development of nonvolatile memories and neuromorphic computing systems based on QD thin-film solids and discusses the advantageous traits of QDs for novel and optimized memory techniques in both conventional flash memories and emerging memristors.
References
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Memristive devices for computing

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Journal ArticleDOI

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

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