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CC BY V4.0, Open Access
Thesis
SUSTAINABLE ORGANIC MATERIAL-BASED ARTIFICIAL SYNAPSES FOR NEUROMORPHIC COMPUTING
Washington State University
Master of Science (MS), Washington State University
05/2025
DOI:
https://doi.org/10.7273/000007393
Abstract
The demand for sustainable, energy-efficient memory technologies drives innovation in neuromorphic hardware. This thesis investigates fructose and Fructose/CNT-based memristors for sustainable neuromorphic computing. Pure fructose-based devices exhibited stable bipolar resistive switching, reliable endurance, and robust retention characteristics, demonstrating effective analog synaptic behaviors such as potentiation and depression. Incorporating carbon nanotubes (CNTs) into the fructose matrix significantly improved switching consistency, reduced voltage variability, and enhanced overall electrical performance due to the conductive pathways and charge trapping provided by CNTs. Comparative analysis indicates CNT integration shifts the dominant switching mechanism from pure electrochemical metallization to a hybrid mechanism involving both electronic and ionic processes, thereby enhancing device uniformity and reliability. These findings underscore the promise of fructose-based materials as eco-friendly candidates for scalable neuromorphic applications.
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Details
- Title
- SUSTAINABLE ORGANIC MATERIAL-BASED ARTIFICIAL SYNAPSES FOR NEUROMORPHIC COMPUTING
- Creators
- MD SHAKIL MAHMUD JIBAN
- Contributors
- Feng Zhao (Chair)Tutku Karacolak (Committee Member)Jong-Hoon Kim (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Engineering and Computer Science (VANC)
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University
- Number of pages
- 112
- Identifiers
- 99901221251001842
- Language
- English
- Resource Type
- Thesis