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On-chip Photonic Systems for Machine...

Chen, Alexander.

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On-chip Photonic Systems for Machine Learning Applications.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	On-chip Photonic Systems for Machine Learning Applications./
作者:	Chen, Alexander.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	118 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
標題:	Optics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146047
ISBN:	9798383058848

On-chip Photonic Systems for Machine Learning Applications.
Chen, Alexander.

On-chip Photonic Systems for Machine Learning Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 118 p.

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Thesis (Ph.D.)--Rensselaer Polytechnic Institute, 2024.

This dissertation presents a comprehensive study on the integration of photonic systems within silicon chips to enhance machine learning applications. It explores the potential of on-chip photonic components, such as low-loss silicon nitride delay lines and slow light thermal phase shifters, in overcoming the limitations faced by traditional electronic computing systems. Through detailed design, fabrication, and characterization, this work demonstrates how these photonic components can be utilized in neural network models, offering scalable and energy-efficient solutions for real-time data processing and advanced cognitive tasks. This research marks a significant step toward the realization of next-generation machine learning hardware, leveraging the unique advantages of photonic computing.

ISBN: 9798383058848Subjects--Topical Terms:

517925
Optics.
Subjects--Index Terms:

Integrated photonics

On-chip Photonic Systems for Machine Learning Applications.
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653 $a Silicon photonics
653 $a Slow light components
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