Semiconductor Memory Applications in Radiation Environment, Hardware Security and Machine Learning System
| Abstract | Semiconductor memory is a key component of the computing systems. Beyond the conventional memory and data storage applications, in this dissertation, both mainstream and eNVM memory technologies are explored for radiation environment, hardware security system and machine learning applications. In the radiation environment, e.g. aerospace, the memory devices face different energetic particles. The strike of these energetic particles can generate electron-hole pairs (directly or indirectly) as they pass through the semiconductor device, resulting in photo-induced current, and may change the memory state. First, the trend of radiation effects of the mainstream memory technologies with technology node scaling is reviewed. Then, single event e... (more) |
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| Created Date | 2018 |
| Contributor | LIU, RUI (Author) / Yu, Shimeng (Advisor) / Yu, Shimeng (Committee member) / Cao, Yu (Committee member) / Barnaby, Hugh (Committee member) / Seo, Jae-sun (Committee member) / Arizona State University (Publisher) |
| Subject | Electrical engineering |
| Type | Doctoral Dissertation |
| Extent | 139 pages |
| Language | English |
| Copyright |
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| Note | Doctoral Dissertation Electrical Engineering 2018 |
| Collaborating Institutions | Graduate College / ASU Library |
| Additional Formats | MODS / OAI Dublin Core / RIS |
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