Electrosynthesis of molecular memory elements
The increasing pace of computing beyond Moore's law scaling and the von Neumann bottleneck necessitates a universal memory solution that offers high speed, low-power consumption, scalability, and non-volatility, such as resistive switching memristors. However, inconsistencies in the homogeneity and uniformity of surface coverage for switching materials on various electrode substrates, especially those prepared <i>via</i> non-covalent methods, result in reduced interfacial stability, thus yielding poor device reproducibility. Electrosynthesis, a reliable and versatile technique for creating covalently bound molecular films on electrode surfaces, enables controlled deposition of large-area, high-quality molecular thin films with nanoscale thicknesses, making it an ideal platform for scalable nanoelectronics. This study explores the electrochemical grafting of two distinct ruthenium complexes: structurally symmetrical [Ru(tpy-ph-NH<sub>2</sub>)<sub>2</sub>](2PF<sub>6</sub>)] (1) and asymmetrical [Ru(tpy-ph-NH<sub>2</sub>)(naptpy)](2PF<sub>6</sub>)] (2), for the fabrication of large-area, two-terminal molecular junctions intended for resistive switching memory applications. A comparative analysis reveals that 2 exhibits relatively superior memory performance to 1, attributed to its donor-acceptor configuration playing a crucial role. Stable vertical molecular junctions with the configuration ITO/Ru complex<sub>24nm</sub>/Al were fabricated, and electrical measurements were carried out to understand the enhanced switching characteristics. The redox-active molecular devices demonstrate non-volatile resistive switching behavior within a ±3.0 V operation window, featuring a large <i>I</i> <sub>ON</sub>/<i>I</i> <sub>OFF</sub> ratio (∼10<sup>3</sup>), a high power consumption ratio (SET/RESET = 25.5 mJ/75000 mJ), and switching time (SET/RESET = 56/24 ms). Synapse-like potentiation and convolutional neural network simulation were performed, highlighting the potential of these devices for in-memory data processing applications.
Authors
- Prakash Chandra Mondal (ORCID: https://orcid.org/0000-0002-9415-5147)
- Pradeep Sachan (ORCID: https://orcid.org/0000-0001-5878-4854)
- Rajwinder Kaur (ORCID: https://orcid.org/0000-0002-1697-9562)
- Shubham Sahay (ORCID: https://orcid.org/0000-0001-9992-3240)
- Anwesha Mahapatra
- Lalith Adithya Sai Channapragada
Institutions
- Indian Institute of Technology Kanpur (IN)
Publication Details
- Journal
- Chemical Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4sc08461f
- Citations
- 3
- Primary Topic
- Electrochemical Analysis and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.55