Multifocal multilevel diffractive lens by wavelength multiplexing
Flat lenses with focal length tunability can enable the development of highly integrated imaging systems. This work explores machine learning to inverse design a multifocal multilevel diffractive lens (MMDL) by wavelength multiplexing. The MMDL output is multiplexed in three color channels, red (650...
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Veröffentlicht in: | Applied optics (2004) 2023-09, Vol.62 (26), p.6931-6938 |
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container_issue | 26 |
container_start_page | 6931 |
container_title | Applied optics (2004) |
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creator | Jia, Wei Lin, Dajun Menon, Rajesh Sensale-Rodriguez, Berardi |
description | Flat lenses with focal length tunability can enable the development of
highly integrated imaging systems. This work explores machine learning
to inverse design a multifocal multilevel diffractive lens (MMDL) by
wavelength multiplexing. The MMDL output is multiplexed in three color
channels, red (650 nm), green (550 nm), and blue
(450 nm), to achieve varied focal lengths of 4 mm,
20 mm, and 40 mm at these three color channels,
respectively. The focal lengths of the MMDL scale significantly with
the wavelength in contrast to conventional diffractive lenses. The
MMDL consists of concentric rings with equal widths and varied
heights. The machine learning method is utilized to optimize the
height of each concentric ring to obtain the desired phase
distribution so as to achieve varied focal lengths multiplexed by
wavelengths. The designed MMDL is fabricated through a direct-write
laser lithography system with gray-scale exposure. The demonstrated
singlet lens is miniature and polarization insensitive, and thus can
potentially be applied in integrated optical imaging systems to
achieve zooming functions. |
doi_str_mv | 10.1364/AO.497775 |
format | Article |
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highly integrated imaging systems. This work explores machine learning
to inverse design a multifocal multilevel diffractive lens (MMDL) by
wavelength multiplexing. The MMDL output is multiplexed in three color
channels, red (650 nm), green (550 nm), and blue
(450 nm), to achieve varied focal lengths of 4 mm,
20 mm, and 40 mm at these three color channels,
respectively. The focal lengths of the MMDL scale significantly with
the wavelength in contrast to conventional diffractive lenses. The
MMDL consists of concentric rings with equal widths and varied
heights. The machine learning method is utilized to optimize the
height of each concentric ring to obtain the desired phase
distribution so as to achieve varied focal lengths multiplexed by
wavelengths. The designed MMDL is fabricated through a direct-write
laser lithography system with gray-scale exposure. The demonstrated
singlet lens is miniature and polarization insensitive, and thus can
potentially be applied in integrated optical imaging systems to
achieve zooming functions.</description><identifier>ISSN: 1559-128X</identifier><identifier>EISSN: 2155-3165</identifier><identifier>EISSN: 1539-4522</identifier><identifier>DOI: 10.1364/AO.497775</identifier><language>eng</language><publisher>Washington: Optical Society of America</publisher><subject>Channels ; Color ; Inverse design ; Lenses ; Machine learning ; Multiplexing ; Phase distribution ; Zooming</subject><ispartof>Applied optics (2004), 2023-09, Vol.62 (26), p.6931-6938</ispartof><rights>Copyright Optical Society of America Sep 10, 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c285t-b0919e328de3ba868cb914d2d8b7930a87b70b49b029dbf0a8f608e99e69805d3</cites><orcidid>0000-0003-2097-2037 ; 0000-0001-5096-2273 ; 0000-0002-4777-376X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3245,27901,27902</link.rule.ids></links><search><creatorcontrib>Jia, Wei</creatorcontrib><creatorcontrib>Lin, Dajun</creatorcontrib><creatorcontrib>Menon, Rajesh</creatorcontrib><creatorcontrib>Sensale-Rodriguez, Berardi</creatorcontrib><title>Multifocal multilevel diffractive lens by wavelength multiplexing</title><title>Applied optics (2004)</title><description>Flat lenses with focal length tunability can enable the development of
highly integrated imaging systems. This work explores machine learning
to inverse design a multifocal multilevel diffractive lens (MMDL) by
wavelength multiplexing. The MMDL output is multiplexed in three color
channels, red (650 nm), green (550 nm), and blue
(450 nm), to achieve varied focal lengths of 4 mm,
20 mm, and 40 mm at these three color channels,
respectively. The focal lengths of the MMDL scale significantly with
the wavelength in contrast to conventional diffractive lenses. The
MMDL consists of concentric rings with equal widths and varied
heights. The machine learning method is utilized to optimize the
height of each concentric ring to obtain the desired phase
distribution so as to achieve varied focal lengths multiplexed by
wavelengths. The designed MMDL is fabricated through a direct-write
laser lithography system with gray-scale exposure. The demonstrated
singlet lens is miniature and polarization insensitive, and thus can
potentially be applied in integrated optical imaging systems to
achieve zooming functions.</description><subject>Channels</subject><subject>Color</subject><subject>Inverse design</subject><subject>Lenses</subject><subject>Machine learning</subject><subject>Multiplexing</subject><subject>Phase distribution</subject><subject>Zooming</subject><issn>1559-128X</issn><issn>2155-3165</issn><issn>1539-4522</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpd0E1Lw0AQBuBFFKzVg_8g4EUPqfuZ3T2G4hdUclHwtuwmszVlm9RsUu2_NyWePM3LzMMwDELXBC8Iy_h9Xiy4llKKEzSjRIiUkUycotkYdUqo-jhHFzFuMGZidDOUvw6hr31b2pBsjzHAHkJS1d53tuzrPSQBmpi4Q_Jtxwk06_5zkrsAP3WzvkRn3oYIV391jt4fH96Wz-mqeHpZ5qu0pEr0qcOaaGBUVcCcVZkqnSa8opVyUjNslXQSO64dprpyfmz4DCvQGjKtsKjYHN1Oe3dd-zVA7M22jiWEYBtoh2ioyrjSkhI-0pt_dNMOXTNed1RCKU4FG9XdpMqujbEDb3ZdvbXdwRBsjs80eWGmZ7JfMYxmdQ</recordid><startdate>20230910</startdate><enddate>20230910</enddate><creator>Jia, Wei</creator><creator>Lin, Dajun</creator><creator>Menon, Rajesh</creator><creator>Sensale-Rodriguez, Berardi</creator><general>Optical Society of America</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2097-2037</orcidid><orcidid>https://orcid.org/0000-0001-5096-2273</orcidid><orcidid>https://orcid.org/0000-0002-4777-376X</orcidid></search><sort><creationdate>20230910</creationdate><title>Multifocal multilevel diffractive lens by wavelength multiplexing</title><author>Jia, Wei ; Lin, Dajun ; Menon, Rajesh ; Sensale-Rodriguez, Berardi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c285t-b0919e328de3ba868cb914d2d8b7930a87b70b49b029dbf0a8f608e99e69805d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Channels</topic><topic>Color</topic><topic>Inverse design</topic><topic>Lenses</topic><topic>Machine learning</topic><topic>Multiplexing</topic><topic>Phase distribution</topic><topic>Zooming</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jia, Wei</creatorcontrib><creatorcontrib>Lin, Dajun</creatorcontrib><creatorcontrib>Menon, Rajesh</creatorcontrib><creatorcontrib>Sensale-Rodriguez, Berardi</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Applied optics (2004)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jia, Wei</au><au>Lin, Dajun</au><au>Menon, Rajesh</au><au>Sensale-Rodriguez, Berardi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multifocal multilevel diffractive lens by wavelength multiplexing</atitle><jtitle>Applied optics (2004)</jtitle><date>2023-09-10</date><risdate>2023</risdate><volume>62</volume><issue>26</issue><spage>6931</spage><epage>6938</epage><pages>6931-6938</pages><issn>1559-128X</issn><eissn>2155-3165</eissn><eissn>1539-4522</eissn><abstract>Flat lenses with focal length tunability can enable the development of
highly integrated imaging systems. This work explores machine learning
to inverse design a multifocal multilevel diffractive lens (MMDL) by
wavelength multiplexing. The MMDL output is multiplexed in three color
channels, red (650 nm), green (550 nm), and blue
(450 nm), to achieve varied focal lengths of 4 mm,
20 mm, and 40 mm at these three color channels,
respectively. The focal lengths of the MMDL scale significantly with
the wavelength in contrast to conventional diffractive lenses. The
MMDL consists of concentric rings with equal widths and varied
heights. The machine learning method is utilized to optimize the
height of each concentric ring to obtain the desired phase
distribution so as to achieve varied focal lengths multiplexed by
wavelengths. The designed MMDL is fabricated through a direct-write
laser lithography system with gray-scale exposure. The demonstrated
singlet lens is miniature and polarization insensitive, and thus can
potentially be applied in integrated optical imaging systems to
achieve zooming functions.</abstract><cop>Washington</cop><pub>Optical Society of America</pub><doi>10.1364/AO.497775</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-2097-2037</orcidid><orcidid>https://orcid.org/0000-0001-5096-2273</orcidid><orcidid>https://orcid.org/0000-0002-4777-376X</orcidid><oa>free_for_read</oa></addata></record> |
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issn | 1559-128X 2155-3165 1539-4522 |
language | eng |
recordid | cdi_proquest_miscellaneous_2864897214 |
source | Alma/SFX Local Collection; Optica Publishing Group Journals |
subjects | Channels Color Inverse design Lenses Machine learning Multiplexing Phase distribution Zooming |
title | Multifocal multilevel diffractive lens by wavelength multiplexing |
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