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Diffractive Integrated Photonics for Analog Computing and Machine Learning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Diffractive Integrated Photonics for Analog Computing and Machine Learning./
作者:	Wang, Zi.
面頁冊數:	1 online resource (95 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:	Dissertations Abstracts International84-03B.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29258573click for full text (PQDT)
ISBN:	9798351461434

Diffractive Integrated Photonics for Analog Computing and Machine Learning.
Wang, Zi.

Diffractive Integrated Photonics for Analog Computing and Machine Learning. - 1 online resource (95 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Thesis (Ph.D.)--University of Delaware, 2022.

Includes bibliographical references

Recently, optical analog signal processing draws a lot of attentions due to the rising of deep learning, and integrated photonics is a promising platform. In this thesis, the author propose a design method combining the metasurface with the integrated photonics, and demonstrate the analog computing and machine learning meta-systems. The author demonstrate both forward and inversely design methods for different applications: spatial differentiation, pattern classification and wavelength demultiplexing. Compared with free-space optical systems, the proposed on-chip meta-system allows more compact footprint and better mechanical robustness.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798351461434Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Integrated photonicsIndex Terms--Genre/Form:

542853
Electronic books.

Diffractive Integrated Photonics for Analog Computing and Machine Learning.
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