Molecular-scale in-operando reconfigurable electronic hardware
It is challenging to reconfigure devices at molecular length scales. Here we report molecular junctions based on molecular switches that toggle stably and reliably between multiple operations to reconfigure electronic devices at molecular length scales. Rather than static on/off switches that always revert to the same state, our voltage-driven molecular device dynamically switches between high and low conduction states during six consecutive proton-coupled electron transfer steps. By changing the applied voltage, different states are accessed resulting in <i>in operando</i> reconfigurable electronic functionalities of variable resistor, diode, memory, and NDR (negative differential conductance). The switching behavior is voltage driven but also has time-dependent features making it possible to access different memory states. This multi-functional switch represents molecular scale hardware operable in solid-state devices (in the form of electrode-monolayer-electrode junctions) that are interesting for areas of research where it is important to have access to time-dependent changes such as brain-inspired (or neuromorphic) electronics.
Authors
- Dongchen Qi (ORCID: https://orcid.org/0000-0001-8466-0257)
- Andrea Leoncini (ORCID: https://orcid.org/0000-0002-8127-1085)
- Yingmei Han
- Christian Albertus Nijhuis (ORCID: https://orcid.org/0000-0003-3435-4600)
- Damien Thompson (ORCID: https://orcid.org/0000-0003-2340-5441)
- Cameron Nickle
- Yulong Wang (ORCID: https://orcid.org/0000-0001-9441-0497)
- Alessandro Borrini (ORCID: https://orcid.org/0000-0001-5468-0038)
- Enrique del Barco (ORCID: https://orcid.org/0000-0002-5763-0076)
- Ziyu Zhang (ORCID: https://orcid.org/0000-0003-2495-4880)
- Qian Zhang (ORCID: https://orcid.org/0000-0001-5314-4233)
Institutions
- University of Central Florida (US)
- Chongqing University (CN)
- Queensland University of Technology (AU)
- National University of Singapore (SG)
- University of Limerick (IE)
- Université Bourgogne Franche-Comté (FR)
- University of Twente (NL)
Publication Details
- Journal
- Nanoscale Horizons
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1039/d4nh00211c
- Citations
- 3
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.63
Funders
- National Science Foundation
- Ministry of Education
- Higher Education Authority
- Science Foundation Ireland
- National Natural Science Foundation of China
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Ministry of Education, India
- Natural Science Foundation of Chongqing
- Centre Scientifique et Technique du Bâtiment
- Irish Centre for High-End Computing
- Division of Electrical, Communications and Cyber Systems