[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120804-en":3,"doc-seo-120804-105":29,"detail-sidebar-cat-0-en-105":89},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":11},120804,8796095360427,"Lucas Martin","https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d",8,"Research & Report","Subwavelength metamaterial devices with optimization and machine learning - Invited talk","Subwavelength metamaterials enable tailored optical properties by structuring dielectric media with periods far smaller than the wavelength, suppressing diffraction and supporting synthesized responses for specific applications. The talk highlights how silicon-based photonics has driven demonstrations such as waveguide-to-fiber couplers, optical antennas, wavelength demultiplexers, mode controllers, filters, and other compact, low-loss devices. It addresses the design challenge posed by many interdependent parameters and competing figures of merit, and presents multi-objective optimization and machine learning to find high-performance, non-trivial metamaterial geometries for both integrated photonics and free-space optical beam control.","POLITECNICO DI TORINO Repository ISTITUZIONALE  \nSubwavelength metamaterial devices with optimization and machine learning  \nOriginal  \nSubwavelength metamaterial devices with optimization and machine learning / Melati, Daniele; Mokeddem, Zindine; Nuño Ruano, Paula; Cassan, Eric; Marris-Morini, Delphine; Vivien, Laurent; Alonso-Ramos, Carlos; Grinberg, Yuri; AlDigeil, Muhammad; Xu, Dan-Xia; Milanizadeh, Maziyar; Zhang, Jianhao; Schmid, Jens H. ; Cheben, Pavel; Khajavi, Shahrzad; Ye, Winnie N. ; Waqas, Abi; Manfredi, Paolo. -ELETTRONICO. - (2023) . (Intervento presentato al convegno Smart Photonic and Optoelectronic Integrated Circuits 2023 (SPIE OPTO 2023) tenutosi a San Francisco, CA, USA nel avn-ailFaebliy0: 23) [10.1117/12.2649953] .  \nThis version is available at: 11583/2982150 since: 2023-09-14T08:54:57Z  \nPublisher: SPIE  \nPublished  \nDOI:10.1117/12.2649953  \nTerms of use:  \nThis article is made available under terms and conditions as specified in the corresponding bibliographic description in the repository  \nPublisher copyright  \n(Article begins on next page)  \n17 October 2023  \nSubwavelength metamaterial devices with optimization  \nand machine learning  \nDaniele Melati1, Zindine Mokeddem1, Paula Nuño-Ruano1, Eric Cassan1, Delphine Marris-Morini1, Laurent Vivien1, Carlos Alonso-Ramos 1, Yuri Grinberg2, Muhammad Al-Digeil2, Dan-Xia Xu2, Maziyar Milanizadeh2, Jianhao Zhang2, Jens H. Schmid2, Pavel Cheben2, Shahrzad Khajavi3, Winnie N. Ye3,  \nAbi Waqas4, and Paolo Manfredi5  \n1 Centre de Nanosciences et de Nanotechnologies, Université Paris-Saclay, CNRS, 91120 Palaiseau,  \nFrance  \n2 National Research Council Canada, 1200 Montreal Rd., Ottawa, ON K1A 0R6, Canada  \n3 Department of Electronics, Carleton University, Ottawa, Canada  \n4 Department of Telecommunication, Mehran University of Engineering and Technology, Jamshoro  \n76062, Pakistan  \n5 Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy  \nABSTRACT (250 words):  \nSubwavelength metamaterials are realized by structuring a dielectric material with a period much smaller than the wavelength. In this way, it is possible to frustrate diffraction and obtain an artificial material with synthesized optical properties tuned for each device of interest. The extensive use of this class of metamaterials especially in (but not limited to) silicon-based photonics allowed to demonstrate a broad range of devices including waveguide-to-fiber couplers, optical antennas, wavelength demultiplexers, mode controllers, and filters with ultra-low losses, large operational bandwidth, complex spectral responses, and compact footprint. While enabling high performance and enhanced scale of integration, the development of metamaterial-based devices with complex topologies often requires to control a large number of interrelated parameters whose manual design can be impractical or lead to suboptimal solutions. Likewise, multiple figures of merit are often involved in the evaluation of the performance of a device, e.g., losses, bandwidth, footprint, or tolerance to fabrication uncertainty, complicating the selection of optimal device design. In this invited talk, we will discuss the potentiality offered by multi-objective optimization and machine learning for the design of highperformance photonic devices based on non-trivial shapes and metamaterials. We will present both integrated devices for on-chip photonic systems as well as recent advances in the development of devices for free-space applications and optical beam control.  \nABSTRACT (100 words):  \nSubwavelength metamaterials allow to synthesize tailored optical properties which enabled the demonstration of photonic devices with unprecedented performance and scale of integration. Yet, the development of metamaterial-based devices often involves a large number of interrelated parameters and figures of merit whose manual design can be impractical or lead to suboptimal solutions. In this invited talk, we w","cbCaic8wYweEfmtL","https://ap.wps.com/l/cbCaic8wYweEfmtL","pdf",33320,1,3,"English","en",105,"# Abstract\n## Metamaterial concept and optical-property synthesis\n## Photonic devices enabled by subwavelength metamaterials\n## Design complexity: parameters and figures of merit\n## Multi-objective optimization and machine learning approach\n## Integrated and free-space application directions","[{\"question\":\"How do subwavelength metamaterials synthesize optical properties for photonic devices?\",\"answer\":\"They structure a dielectric material with a period much smaller than the wavelength, frustrating diffraction. This enables an artificial material whose optical response is synthesized and tuned for each target device.\"},{\"question\":\"Which photonic device types are commonly demonstrated using subwavelength metamaterials?\",\"answer\":\"Examples include waveguide-to-fiber couplers, optical antennas, wavelength demultiplexers, mode controllers, and filters, with emphasis on ultra-low losses, large bandwidth, complex spectral responses, and compact size.\"},{\"question\":\"Why is optimization difficult for metamaterial-based device design?\",\"answer\":\"Device performance evaluation involves many interrelated parameters and multiple figures of merit, such as loss, bandwidth, footprint, and fabrication tolerance. Manual design can be impractical and may lead to suboptimal solutions.\"}]","Subwavelength metamaterial devices with optimization and machine learning - Invited talk | PDF",1785732108,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":28},"subwavelength-metamaterial-devices-with-optimization-and-machine-learning-invited-talk","",{"@graph":35,"@context":83},[36,52,66],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,49],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":21},"https://docshare.wps.com/document/research-report/",{"item":50,"name":13,"@type":42,"position":51},"https://docshare.wps.com/document/subwavelength-metamaterial-devices-with-optimization-and-machine-learning-invited-talk/120804/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"inLanguage":23,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":40,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"How do subwavelength metamaterials synthesize optical properties for photonic devices?","Question",{"text":73,"@type":74},"They structure a dielectric material with a period much smaller than the wavelength, frustrating diffraction. This enables an artificial material whose optical response is synthesized and tuned for each target device.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"Which photonic device types are commonly demonstrated using subwavelength metamaterials?",{"text":78,"@type":74},"Examples include waveguide-to-fiber couplers, optical antennas, wavelength demultiplexers, mode controllers, and filters, with emphasis on ultra-low losses, large bandwidth, complex spectral responses, and compact size.",{"name":80,"@type":71,"acceptedAnswer":81},"Why is optimization difficult for metamaterial-based device design?",{"text":82,"@type":74},"Device performance evaluation involves many interrelated parameters and multiple figures of merit, such as loss, bandwidth, footprint, and fabrication tolerance. 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