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Analytical level set fabrication constraints for inverse design
by
Trivedi, Rahul
, Su, Logan
, Vercruysse, Dries
, Sapra, Neil V.
, Vučković, Jelena
in
142/126
/ 639/624/1075
/ 639/624/399/1099
/ 639/925/927
/ Automation
/ Design
/ Design flow
/ Fabrication
/ Funding
/ Geometry
/ Humanities and Social Sciences
/ Methods
/ multidisciplinary
/ Optimization techniques
/ Science
/ Science (multidisciplinary)
2019
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Analytical level set fabrication constraints for inverse design
by
Trivedi, Rahul
, Su, Logan
, Vercruysse, Dries
, Sapra, Neil V.
, Vučković, Jelena
in
142/126
/ 639/624/1075
/ 639/624/399/1099
/ 639/925/927
/ Automation
/ Design
/ Design flow
/ Fabrication
/ Funding
/ Geometry
/ Humanities and Social Sciences
/ Methods
/ multidisciplinary
/ Optimization techniques
/ Science
/ Science (multidisciplinary)
2019
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Analytical level set fabrication constraints for inverse design
by
Trivedi, Rahul
, Su, Logan
, Vercruysse, Dries
, Sapra, Neil V.
, Vučković, Jelena
in
142/126
/ 639/624/1075
/ 639/624/399/1099
/ 639/925/927
/ Automation
/ Design
/ Design flow
/ Fabrication
/ Funding
/ Geometry
/ Humanities and Social Sciences
/ Methods
/ multidisciplinary
/ Optimization techniques
/ Science
/ Science (multidisciplinary)
2019
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Analytical level set fabrication constraints for inverse design
Journal Article
Analytical level set fabrication constraints for inverse design
2019
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Overview
Inverse design methods produce nanophotonic devices with arbitrary geometries that show high efficiencies as well as novel functionalities. Ensuring fabricability during optimization of these unrestricted device geometries is a major challenge for these design methods. In this work, we construct a fabrication constraint penalty function for level set geometry representations of these devices. This analytical penalty function limits both the gap size and boundary curvature of a device. We incorporate this penalty in a fully automated optical design flow using a quasi-Newton optimization method. The performance of our design method is evaluated by designing a series of waveguide demultiplexers (WDM) and mode converters with various footprints and minimum feature sizes. Finally, we design and experimentally characterize three WDMs with a 80 nm, 120 nm and 160 nm feature size.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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