Counterions Drive Memory Functionality in Two‐Terminal Viologen‐based Molecular Junctions
Molecular memory devices have emerged as promising hardware components for future neuromorphic technology. However, their optimization for industrial applications remains a challenge. Viologen offers bistable redox states, making them ideal for non-volatile resistive switching memory elements in electronic devices. However, it is crucial to understand the key roles of counterions in the viologen-based memory devices. This study explores the potential for tuning memory parameters-including threshold voltage, ON/OFF current ratio (I<sub>ON/OFF</sub>), retention time, and stability in redox-active benzyl viologen dichloride system by four counter anions such as tetrafluoroborate (BF<sub>4</sub>¯), perchlorate (ClO<sub>4</sub>¯), triflate (OTf¯), and bis(trifluoromethanesulfonyl)imide (TFSI¯). Electrical studies reveal that larger counter anions require a higher threshold voltage but produce larger I<sub>ON/OFF</sub>. Among the four specific examples, OTf¯ has shown a good balance in terms of switching voltage (± 1.5 V), with I<sub>ON/OFF</sub> ̴ 10<sup>5</sup>, 1050 cycle endurance, and stability up to 2000 s. Thickness-dependent studies identify ≈70 nm of viologen film as optimal for memory performance. Counterions in the molecular films undergo movement due to the high electric field, which originates hysteresis. The study highlights the impact of counter-anion selection on the performance and parameters of viologen-based non-volatile memory devices, providing crucial insights for designing resistive switching characteristics.
Authors
- Sirsendu Das Adhikary
- Prakash Chandra Mondal (ORCID: https://orcid.org/0000-0002-9415-5147)
- Anwesha Mahapatra (ORCID: https://orcid.org/0000-0002-9530-4415)
- Ranjeev Kumar Parashar (ORCID: https://orcid.org/0000-0002-8420-4267)
- Sagnik Pal (ORCID: https://orcid.org/0000-0001-8923-3158)
- Abhik Ghoshal
Institutions
- Indian Institute of Technology Kanpur (IN)
Publication Details
- Journal
- Small
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1002/smll.202503767
- Citations
- 4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.92