DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tseng, Ethan | - |
dc.contributor.author | Colburn, Shane | - |
dc.contributor.author | Whitehead, James | - |
dc.contributor.author | Huang, Luocheng | - |
dc.contributor.author | Baek, Seung-Hwan | - |
dc.contributor.author | Majumdar, Arka | - |
dc.contributor.author | Heide, Felix | - |
dc.date.accessioned | 2022-02-23T12:40:06Z | - |
dc.date.available | 2022-02-23T12:40:06Z | - |
dc.date.created | 2022-02-20 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/109474 | - |
dc.description.abstract | Nano-optic imagers that modulate light at sub-wavelength scales could enable new applications in diverse domains ranging from robotics to medicine. Although metasurface optics offer a path to such ultra-small imagers, existing methods have achieved image quality far worse than bulky refractive alternatives, fundamentally limited by aberrations at large apertures and low f-numbers. In this work, we close this performance gap by introducing a neural nano-optics imager. We devise a fully differentiable learning framework that learns a metasurface physical structure in conjunction with a neural feature-based image reconstruction algorithm. Experimentally validating the proposed method, we achieve an order of magnitude lower reconstruction error than existing approaches. As such, we present a high-quality, nano-optic imager that combines the widest field-of-view for full-color metasurface operation while simultaneously achieving the largest demonstrated aperture of 0.5 mm at an f-number of 2. | - |
dc.language | English | - |
dc.publisher | Nature Publishing Group | - |
dc.relation.isPartOf | Nature Communications | - |
dc.title | Neural nano-optics for high-quality thin lens imaging | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/s41467-021-26443-0 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Nature Communications, v.12, no.1 | - |
dc.identifier.wosid | 000723756500022 | - |
dc.citation.number | 1 | - |
dc.citation.title | Nature Communications | - |
dc.citation.volume | 12 | - |
dc.contributor.affiliatedAuthor | Baek, Seung-Hwan | - |
dc.identifier.scopusid | 2-s2.0-85120087900 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | BAND ACHROMATIC METALENS | - |
dc.subject.keywordPlus | DIELECTRIC METASURFACES | - |
dc.subject.keywordPlus | PHASE | - |
dc.subject.keywordPlus | RESOLUTION | - |
dc.subject.keywordPlus | BANDWIDTH | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
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