Studies on charge trap memristor based bio-inspired neuromorphic devices전하 트랩 멤리스터 기반의 생체모방 뉴로모픽 소자 연구

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With the increasing volume of data that needs to be processed, research on neuromorphic devices is emerging that mimic energetically efficient biological systems. From a hardware perspective, recent studies aim to replicate the parallel information processing characteristics of the central nervous system capable of efficient processing for large amounts of information. Concurrently, active research seeks to emulate complex biological features using simple electronic components. Although various next-generation semiconductor devices are being explored to realize this, challenges such as leakage currents, device variability, and reliability issues persist for the large-scale integration. Continuous research efforts are necessary to address these issues. In this study, I aimed to improve the limitations of existing memristor-based next-generation semiconductor devices based on the charge trap mechanism. Through an examination of the charge trap-based operational mechanism and band engineering of the oxide thin film layer, I successfully implemented stable characteristics in artificial synapse components. Furthermore, by implementing a biomimetic artificial nociceptor with adjustable thresholds for the first time, I aimed to present a new direction in the research of next-generation neuromorphic devices.
Advisors
김경민researcher
Description
한국과학기술원 :신소재공학과,
Publisher
한국과학기술원
Issue Date
2024
Identifier
325007
Language
eng
Description

학위논문(박사) -- 한국과학기술원 : 신소재공학과, 2024.2,[ix, 94 p. :]

Keywords

멤리스터▼a전하 트랩 메커니즘▼a인공 시냅스▼a인공 통각수용기▼a뉴로모픽 컴퓨팅; Memristor▼aCharge trapping mechanism▼aArtificial synapse▼aArtificial nociceptor▼aNeuromorphic computing

URI
http://hdl.handle.net/10203/322086
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1099305&flag=dissertation
Appears in Collection
MS-Theses_Ph.D.(박사논문)
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