Printed High‐Entropy Prussian Blue Analogs for Advanced Non‐Volatile Memristive Devices
Non-volatile memristors dynamically switch between high (HRS) and low resistance states (LRS) in response to electrical stimuli, essential for electronic memories, neuromorphic computing, and artificial intelligence. High-entropy Prussian blue analogs (HE-PBAs) are promising insertion-type battery materials due to their diverse composition, high structural integrity, and favorable ionic conductivity. This work proposes a non-volatile, bipolar memristor based on HE-PBA. The device, featuring an active layer of HE-PBA sandwiched between Ag and ITO electrodes, is fabricated by inkjet printing and microplotting. The conduction mechanism of the Ag/HE-PBA/ITO device is systematically investigated. The results indicate that the transition between HRS and LRS is driven by an insulating-metallic transition, triggered by extraction/insertion of highly mobile Na<sup>+</sup> ions upon application of an electric field. The memristor operates through a low-energy process akin to Na<sup>+</sup> shuttling in Na-ion batteries rather than depending on formation/rupture of Ag filaments. Notably, it showcases promising characteristics, including non-volatility, self-compliance, and forming-free behavior, and further exhibits low operation voltage (V<sub>SET</sub> = -0.26 V, V<sub>RESET</sub> = 0.36 V), low power consumption (P<sub>SET</sub> = 26 µW, P<sub>RESET</sub> = 8.0 µW), and a high R<sub>OFF</sub>/R<sub>ON</sub> ratio of 10<sup>4</sup>. This underscores the potential of high-entropy insertion materials for developing printed memristors with distinct operation mechanisms.
Authors
- Simon Schweidler (ORCID: https://orcid.org/0000-0003-4675-1072)
- Jasmin Aghassi‐Hagmann (ORCID: https://orcid.org/0000-0003-0348-041X)
- Yanjiao Ma (ORCID: https://orcid.org/0000-0002-4125-2867)
- Torsten Brezesinski (ORCID: https://orcid.org/0000-0002-4336-263X)
- Gabriel Cadilha Marques (ORCID: https://orcid.org/0000-0003-3718-7780)
- Yin‐Ying Ting (ORCID: https://orcid.org/0000-0003-3449-7441)
- Hongrong Hu (ORCID: https://orcid.org/0000-0003-3861-9848)
- Yuting Dai (ORCID: https://orcid.org/0000-0001-8275-2115)
- Piotr M. Kowalski (ORCID: https://orcid.org/0000-0001-6604-3458)
- Horst Hahn (ORCID: https://orcid.org/0000-0001-9901-3861)
- Thomas Diemant (ORCID: https://orcid.org/0000-0001-9701-9995)
- Ben Breitung (ORCID: https://orcid.org/0000-0002-1304-3398)
- Jing Lin (ORCID: https://orcid.org/0000-0002-6403-4803)
- Yueyue He (ORCID: https://orcid.org/0000-0002-9787-4470)
Institutions
- Karlsruhe Institute of Technology (DE)
- Nanjing Normal University (CN)
- Forschungszentrum Jülich (DE)
- Technische Universität Darmstadt (DE)
- Helmholtz-Institute Ulm (DE)
- Jülich Aachen Research Alliance (DE)
- University of Oklahoma (US)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Advanced Materials
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1002/adma.202410060
- Citations
- 8
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.67
Funders
- Deutsche Forschungsgemeinschaft