Surrogate-assisted transformation optics inspired GRIN lens design and optimization

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

It has been shown that Transformation Optics (TO)-derived gradient-index (GRIN) lenses often outperform more traditional GRIN designs. In order to better understand the origins of this performance improvement, such TO-derived solutions have previously been decomposed into a 2D-polynomial basis, which unveiled the presence of large radial-axial 'cross-term' contributions to the index profile. While these terms are crucial in maximizing the performance of GRIN lenses, finding the optimal index profile becomes a more challenging problem due to the expanded number of input variables. However, this optimization process can be considerably accelerated through the introduction of surrogate models at several stages of the design process.

Original languageEnglish (US)
Title of host publication2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780996007832
DOIs
StatePublished - May 1 2017
Event2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017 - Firenze, Italy
Duration: Mar 26 2017Mar 30 2017

Publication series

Name2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017

Other

Other2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017
CountryItaly
CityFirenze
Period3/26/173/30/17

Fingerprint

Gradient index optics
gradient index optics
Lens Design
lens design
Optics
Lenses
Gradient
optimization
Optimization
gradients
Polynomials
Lens
lenses
optics
Surrogate Model
Polynomial Basis
Term
profiles
Process Optimization
Design Process

All Science Journal Classification (ASJC) codes

  • Radiation
  • Signal Processing
  • Computational Mathematics
  • Instrumentation

Cite this

Campbell, S., Nagar, J., Easum, J. A., Werner, D. H., & Werner, P. L. (2017). Surrogate-assisted transformation optics inspired GRIN lens design and optimization. In 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017 [7916317] (2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ROPACES.2017.7916317
Campbell, Sawyer ; Nagar, Jogender ; Easum, John A. ; Werner, Douglas Henry ; Werner, Pingjuan Li. / Surrogate-assisted transformation optics inspired GRIN lens design and optimization. 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017).
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Campbell, S, Nagar, J, Easum, JA, Werner, DH & Werner, PL 2017, Surrogate-assisted transformation optics inspired GRIN lens design and optimization. in 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017., 7916317, 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017, Institute of Electrical and Electronics Engineers Inc., 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017, Firenze, Italy, 3/26/17. https://doi.org/10.23919/ROPACES.2017.7916317

Surrogate-assisted transformation optics inspired GRIN lens design and optimization. / Campbell, Sawyer; Nagar, Jogender; Easum, John A.; Werner, Douglas Henry; Werner, Pingjuan Li.

2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7916317 (2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - It has been shown that Transformation Optics (TO)-derived gradient-index (GRIN) lenses often outperform more traditional GRIN designs. In order to better understand the origins of this performance improvement, such TO-derived solutions have previously been decomposed into a 2D-polynomial basis, which unveiled the presence of large radial-axial 'cross-term' contributions to the index profile. While these terms are crucial in maximizing the performance of GRIN lenses, finding the optimal index profile becomes a more challenging problem due to the expanded number of input variables. However, this optimization process can be considerably accelerated through the introduction of surrogate models at several stages of the design process.

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Campbell S, Nagar J, Easum JA, Werner DH, Werner PL. Surrogate-assisted transformation optics inspired GRIN lens design and optimization. In 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7916317. (2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017). https://doi.org/10.23919/ROPACES.2017.7916317