Development of 3-terminal synaptic transistor based on charge injection for linear conductance update선형성 향상을 위한 게이트 전하 주입 기반 3단자 시냅스 소자 연구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 65
  • Download : 0
In the advent of the Big Data era and the arising of the artificial intelligence technology, the availability to handle the huge data is highly required. However, the conventional von Neumann architecture, which consists of physically separated memory and processing unit, triggers bottleneck to deal with data-intensive task due to obligated data transfer. Neuromorphic computing is one of the promising alternative, which considered to overcome the bottleneck with synapse device, where the data can be computed and processed in the same place. Among them, The 3-terminal synapse device is attractive due to its high stability and weight controllability. However, previous researches have reported several drawbacks such as high nonlinearity, CMOS incompatibility, and low dynamic range. In this work, the field-effect based 3-terminal device is introduced, utilizing the thermionic emission based charge injection from and to gate. The device achieves high linearity, uniformity, low power consumption, and reasonable endurance and retention with CMOS compatible material and process, which implies the device is qualified for large-scale crossbar array based neuromorphic computing.
Advisors
Choi, Shinhyunresearcher최신현researcher
Description
한국과학기술원 :전기및전자공학부,
Publisher
한국과학기술원
Issue Date
2021
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2021.8,[iii, 30 p. :]

Keywords

Synapse device▼aNeuromorphic computing▼aLinearity▼aCMOS compatible▼aLow power consumption; 시냅스 소자▼a뉴로모픽 컴퓨팅▼a선형성▼aCMOS 호환성▼a저전력동작

URI
http://hdl.handle.net/10203/309457
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1007052&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0