Bioinspired Flexible and Low-Voltage Organic Synaptic Transistors for UV Light-Driven Vision Systems
Neuromorphic vision systems, particularly those stimulated by ultraviolet (UV) light, hold great potential applications in portable electronics, wearable technology, biological analysis, military surveillance, etc. Organic artificial synaptic devices hold immense potential in this field due to their ease of processing, flexibility, and biocompatibility. In this work, we have fabricated a flexible organic field-effect transistor (OFET) that utilizes chitosan-silver nanoparticles (AgNPs) composite material as the active dielectric material. During UV light illumination, both silver nanoparticles and the pentacene layer generate a large number of charge carriers. The photogenerated carriers lead to a more significant hole accumulation at the pentacene interface, resulting in a current rise. In the absence of light, the trapped electron in the silver nanoparticles persists for a longer duration, preventing the instant recombination with holes. This extended retention of electrons leads to the observed synaptic performance of the transistor. The use of aluminum oxide (Al<sub>2</sub>O<sub>3</sub>) as one of the dielectric layers enables the device to operate effectively at low voltage (<1 V). The device mimics various crucial synaptic properties of the brain, including short-term potentiation and long-term potentiation (STP and LTP), paired-pulse facilitation (PPF), spike-duration dependent plasticity (SDDP), spike-number dependent plasticity (SNDP), and spike-rate dependent plasticity (SRDP), etc. This work introduces an approach to develop flexible organic synaptic transistors that operate efficiently at low voltages, paving the way toward high-performance, UV light-driven neuromorphic vision systems.
Authors
- Riya Sadhukhan
- Asima Pradhan (ORCID: https://orcid.org/0000-0002-3351-0141)
- D. K. Goswami (ORCID: https://orcid.org/0000-0002-5891-6172)
- Shiv Prakash Verma
- Sovanlal Mondal (ORCID: https://orcid.org/0009-0002-2424-5726)
- Rajdeep Banerjee (ORCID: https://orcid.org/0000-0001-6326-0246)
- Priyanka Rani (ORCID: https://orcid.org/0000-0002-9639-8513)
- Abhirup Das
- Madhuchanda Banerjee
- Anshika Bansal
Institutions
- Indian Institute of Technology Kharagpur (IN)
- Midnapore Medical College and Hospital (IN)
Publication Details
- Journal
- ACS Applied Bio Materials
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1021/acsabm.4c00509
- Citations
- 4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.83
Funders
- Department of Science and Technology, Ministry of Science and Technology, India
- Ministry of Electronics and Information technology