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Thesis
HONEY-BASED ARTIFICIAL SYNAPTIC DEVICES FOR RENEWABLE NEUROMORPHIC COMPUTING APPLICATIONS
Master of Science (MS), Washington State University
2025
Abstract
The search for sustainable yet energy-efficient electronic devices has been a driving force in the development of artificial synaptic devices for neuromorphic computing. Neuromorphic computing offers an overlap of memory and processing driven by synaptic plasticity mechanisms found in the brain, potentially reducing overall power consumption for computing processes. In addition, sustainable components and natural organic components can be incorporated into artificial synaptic devices, allowing for an even more environmentally conscientious approach to the fabrication of such hardware. This thesis examines Honey and Honey-CNT of different processing conditions as natural organic materials in memristors for both their ReRAM and synaptic plasticity memory capabilities. The resistive switching capabilities, including switching characteristics and retention, were examined on Honey and Honey-CNT memristors. Synaptic plasticity was also examined for both honey and honey-CNT memristors, including short term and long term memory, spike-time-dependent plasticity, paired pulse facilitation, and potentiation and depression. These results show honey and honey-CNT's advancement as artificial synaptic device dielectrics and their capability to mimic the natural behaviors of biological synapses.
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Details
- Title
- HONEY-BASED ARTIFICIAL SYNAPTIC DEVICES FOR RENEWABLE NEUROMORPHIC COMPUTING APPLICATIONS
- Creators
- Zoe Templin
- Contributors
- Feng Zhao (Advisor)Hang Gao (Advisor)Tutku Karacolak (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- School of Electrical Engineering and Computer Science
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Number of pages
- 93
- Identifiers
- 99901356785101842
- Language
- English
- Resource Type
- Thesis