Deep learning enabled invisibility cloak design

Invisibility cloak has become a hot topic recently, and development has been working on it. In this project, approach is made to reduce scattering of invisibility cloak using optimization and deep leaning techniques. Two different approaches were experimented in this project, first one was usi...

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Main Author:	Eng, Clifford Ping Hao
Other Authors:	Luo Yu
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2022
Subjects:	Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics
Online Access:	https://hdl.handle.net/10356/163566
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1635662023-07-07T18:56:54Z Deep learning enabled invisibility cloak design Eng, Clifford Ping Hao Luo Yu School of Electrical and Electronic Engineering luoyu@ntu.edu.sg Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Invisibility cloak has become a hot topic recently, and development has been working on it. In this project, approach is made to reduce scattering of invisibility cloak using optimization and deep leaning techniques. Two different approaches were experimented in this project, first one was using Optimization Toolbox optimized parameters to train a MLP model. The second one was by using Global Optimization Toolbox’s MultiStart solver to optimize parameters. After analyzing, the second one yields a better performance which resulted in lower scattering energy, with the only downside of longer computation time. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-12-09T06:19:32Z 2022-12-09T06:19:32Z 2022 Final Year Project (FYP) Eng, C. P. H. (2022). Deep learning enabled invisibility cloak design. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163566 https://hdl.handle.net/10356/163566 en A2312-212 application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics
spellingShingle	Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Eng, Clifford Ping Hao Deep learning enabled invisibility cloak design
description	Invisibility cloak has become a hot topic recently, and development has been working on it. In this project, approach is made to reduce scattering of invisibility cloak using optimization and deep leaning techniques. Two different approaches were experimented in this project, first one was using Optimization Toolbox optimized parameters to train a MLP model. The second one was by using Global Optimization Toolbox’s MultiStart solver to optimize parameters. After analyzing, the second one yields a better performance which resulted in lower scattering energy, with the only downside of longer computation time.
author2	Luo Yu
author_facet	Luo Yu Eng, Clifford Ping Hao
format	Final Year Project
author	Eng, Clifford Ping Hao
author_sort	Eng, Clifford Ping Hao
title	Deep learning enabled invisibility cloak design
title_short	Deep learning enabled invisibility cloak design
title_full	Deep learning enabled invisibility cloak design
title_fullStr	Deep learning enabled invisibility cloak design
title_full_unstemmed	Deep learning enabled invisibility cloak design
title_sort	deep learning enabled invisibility cloak design
publisher	Nanyang Technological University
publishDate	2022
url	https://hdl.handle.net/10356/163566
_version_	1772826955801952256

Deep learning enabled invisibility cloak design

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