Device Stack Optimization for Protonic Non-Volatile Programmable Resistors
Analog computing could alleviate computational bottlenecks in digital deep learning systems by utilizing local information processing through the physical properties of devices, such as electrochemical ion-intercalation in three-terminal devices where channel resistance is modulated by ionic exchang...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156286 https://orcid.org/0009-0004-9904-8318 |