東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Design and Characterization of Advan...

Zhu, Yilin,

Linked to FindBook

Google Book

Amazon

博客來

Design and Characterization of Advanced Diffractive Devices for Imaging and Spectroscopy /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Design and Characterization of Advanced Diffractive Devices for Imaging and Spectroscopy // Yilin Zhu.
Author:	Zhu, Yilin,
Description:	1 electronic resource (171 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:	Dissertations Abstracts International85-07B.
Subject:	Engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30820232
ISBN:	9798381409567

Design and Characterization of Advanced Diffractive Devices for Imaging and Spectroscopy /
Zhu, Yilin,

Design and Characterization of Advanced Diffractive Devices for Imaging and Spectroscopy /Yilin Zhu. - 1 electronic resource (171 pages)

Source: Dissertations Abstracts International, Volume: 85-07, Section: B.

Due to the ever-increasing demands of highly integrated optical devices in imaging, spectroscopy, communications, and so on, there is a compelling need to design and characterize novel compact photonic components. The traditional approaches to realizing compact optical devices typically result in large footprints and sizable optical thicknesses. Moreover, they offer few degrees of freedom (DOF), hampering on-demand functionalities, on-chip integration, and scalability.This thesis will address the design and development of ultracompact diffractive devices for imaging and spectroscopy, utilizing advanced machine learning techniques and optimization algorithms. I first present the inverse design of ultracompact dual-focusing lenses and broad-band focusing spectrometers based on adaptive diffractive optical networks (a-DONs), which combine optical diffraction physics and deep learning capabilities for the inverse design of multi-layered diffractive devices. I designed two-layer diffractive devices that can selectively focus incident radiation over well-separated spectral bands at desired distances and also optimized a-DON-based focusing spectrometers with engineered angular dispersion for desired bandwidth and nanometer spectral resolution. Furthermore, I introduced a new approach based on a-DONs for the engineering of diffractive devices with arbitrary k-space, which produces improved imaging performances compared to contour-PSF approaches to lensless computational imaging. Moreover, my method enables control of sparsity and isotropic k-space in pixelated screens of dielectric scatterers that are compatible with large-scale photolithographic fabrication techniques. Finally, by combining adjoint optimization with the rigorous generalized Mie theory, I developed and characterize functionalized compact devices, which I called "photonic patches," consisting of ∼ 100 dielectric nanocylinders that achieve predefined functionalities such as beam steering, Fresnel zone focusing, local density of states (LDOS) enhancement, etc. My method enables the inverse design of ultracompact focusing spectrometers for on-chip planar integration. Leveraging multiple scattering of light in disordered random media, I additionally demonstrated a novel approach to on-chip spectroscopy driven by high-throughput multifractal (i.e., multiscale) media, resulting in sub-nanometer spectral resolution at the 50 x 50 µm2 -scale footprint.

English

ISBN: 9798381409567Subjects--Topical Terms:

586835
Engineering.
Subjects--Index Terms:

Inverse design

Design and Characterization of Advanced Diffractive Devices for Imaging and Spectroscopy /
LDR:03916nmm a22004453i 4500 001 2432346
005 20250707081445.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798381409567
035 $a (MiAaPQD)AAI30820232
035 $a AAI30820232
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Zhu, Yilin, $e author. $0 (orcid)0009-0000-7989-1675 $3 3821525
245 1 0 $a Design and Characterization of Advanced Diffractive Devices for Imaging and Spectroscopy / $c Yilin Zhu.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (171 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
500 $a Advisors: Dal Negro, Luca Committee members: Tian, Lei; Basu, Soumendra N.; Bellotti, Enrico.
502 $b Ph.D. $c Boston University $d 2024.
520 $a Due to the ever-increasing demands of highly integrated optical devices in imaging, spectroscopy, communications, and so on, there is a compelling need to design and characterize novel compact photonic components. The traditional approaches to realizing compact optical devices typically result in large footprints and sizable optical thicknesses. Moreover, they offer few degrees of freedom (DOF), hampering on-demand functionalities, on-chip integration, and scalability.This thesis will address the design and development of ultracompact diffractive devices for imaging and spectroscopy, utilizing advanced machine learning techniques and optimization algorithms. I first present the inverse design of ultracompact dual-focusing lenses and broad-band focusing spectrometers based on adaptive diffractive optical networks (a-DONs), which combine optical diffraction physics and deep learning capabilities for the inverse design of multi-layered diffractive devices. I designed two-layer diffractive devices that can selectively focus incident radiation over well-separated spectral bands at desired distances and also optimized a-DON-based focusing spectrometers with engineered angular dispersion for desired bandwidth and nanometer spectral resolution. Furthermore, I introduced a new approach based on a-DONs for the engineering of diffractive devices with arbitrary k-space, which produces improved imaging performances compared to contour-PSF approaches to lensless computational imaging. Moreover, my method enables control of sparsity and isotropic k-space in pixelated screens of dielectric scatterers that are compatible with large-scale photolithographic fabrication techniques. Finally, by combining adjoint optimization with the rigorous generalized Mie theory, I developed and characterize functionalized compact devices, which I called "photonic patches," consisting of ∼ 100 dielectric nanocylinders that achieve predefined functionalities such as beam steering, Fresnel zone focusing, local density of states (LDOS) enhancement, etc. My method enables the inverse design of ultracompact focusing spectrometers for on-chip planar integration. Leveraging multiple scattering of light in disordered random media, I additionally demonstrated a novel approach to on-chip spectroscopy driven by high-throughput multifractal (i.e., multiscale) media, resulting in sub-nanometer spectral resolution at the 50 x 50 µm2 -scale footprint.
546 $a English
590 $a School code: 0017
650 4 $a Engineering. $3 586835
650 4 $a Physics. $3 516296
650 4 $a Optics. $3 517925
650 4 $a Electromagnetics. $3 3173223
653 $a Inverse design
653 $a Lensless imaging
653 $a Machine learning
653 $a Nanocylinders
653 $a Optimization algorithm
690 $a 0537
690 $a 0605
690 $a 0752
690 $a 0607
710 2 $a Boston University. $b Materials Science & Engineering ENG. $e degree granting institution. $3 3821526
720 1 $a Dal Negro, Luca $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 85-07B.
790 $a 0017
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30820232