Printed High‐Entropy Prussian Blue Analogs for Advanced Non‐Volatile Memristive Devices (Adv. Mater. 8/2025)
High-Entropy Prussian Blue Analogs In article number 2410060 by Ben Breitung, Jasmin Aghassi-Hagmann, and co-workers, high-entropy metal organic frameworks (HE-MOFs) are employed as the active layer in sodium-modulated, non-volatile, printed memristors. These memristors exhibit low power consumption, self-compliance, and forming-free behavior, ideal for memory applications. The resistivity changes during operation arise from an insulating-metallic transition, driven by the distribution of sodium ions within the material. By leveraging the low-energy process of ion (de)insertion combined with a silver (Ag) electrode, the Ag/HE-MOF/ITO device demonstrates robust retention stability and a high ROFF/RON ratio, making it an efficient non-volatile memristor.
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
- 2025-02-01
- DOI
- https://doi.org/10.1002/adma.202570064
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73