자료유형 | 학위논문 |
---|---|
서명/저자사항 | Neuromorphic Nanowire Networks as a Physical Substrate for In-Materio Reservoir Computing. |
개인저자 | Lilak, Sam. |
단체저자명 | University of California, Los Angeles. Chemistry 0153. |
발행사항 | [S.l.]: University of California, Los Angeles., 2022. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2022. |
형태사항 | 90 p. |
기본자료 저록 | Dissertations Abstracts International 83-12B. Dissertation Abstract International |
ISBN | 9798819332863 |
학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2022. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
Advisor: Gimzewski, James K. |
이용제한사항 | This item must not be sold to any third party vendors. |
일반주제명 | Chemistry. Nanotechnology. |
언어 | 영어 |
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