Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm

Anand Kumar; Yugesh Chandrakapure; Alok Chandra Joshi; Akhlesh Lakhtakia; Debdeep Sarkar

doi:10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm

Anand Kumar
, Yugesh Chandrakapure
, Alok Chandra Joshi
, Akhlesh Lakhtakia
, Debdeep Sarkar

Engineering Science and Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

An automated design approach for pixelated meta-surfaces is suitable for applications such as bandpass filtering and polarization conversion (linear-to-linear, circular, or elliptical). This approach leverages the bio-inspired Particle Swarm Optimization (PSO) algorithm within a MATLAB-CST co-simulation framework to efficiently optimize pixel configurations for the meta-atoms. Users can define key design parameters through a user-friendly MATLAB interface, including pixel grid size, constitutive properties, and mean-square-error (MSE) thresholds. The approach iteratively performs CST simulations guided by PSO, enabling the creation of high-performance, application-specific meta-surfaces. The approach's effectiveness and adaptability is exemplified by the design of transmissive meta-surfaces for linear-to-right-hand elliptical and linear-to-left-hand elliptical polarization conversion.

Original language	English (US)
Title of host publication	2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	389-392
Number of pages	4
ISBN (Electronic)	9798331523671
DOIs	https://doi.org/10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816
State	Published - 2025
Event	2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Ottawa, Canada Duration: Jul 13 2025 → Jul 18 2025

Publication series

Name	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)	1522-3965
ISSN (Electronic)	1947-1491

Conference

Conference	2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025
Country/Territory	Canada
City	Ottawa
Period	7/13/25 → 7/18/25

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

Cite this

Kumar, A., Chandrakapure, Y., Joshi, A. C., Lakhtakia, A., & Sarkar, D. (2025). Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm. In 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings (pp. 389-392). (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

Kumar, Anand ; Chandrakapure, Yugesh ; Joshi, Alok Chandra et al. / Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm. 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 389-392 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

@inproceedings{c2ca24ad3c8e4c2683034f33610073d7,

title = "Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm",

abstract = "An automated design approach for pixelated meta-surfaces is suitable for applications such as bandpass filtering and polarization conversion (linear-to-linear, circular, or elliptical). This approach leverages the bio-inspired Particle Swarm Optimization (PSO) algorithm within a MATLAB-CST co-simulation framework to efficiently optimize pixel configurations for the meta-atoms. Users can define key design parameters through a user-friendly MATLAB interface, including pixel grid size, constitutive properties, and mean-square-error (MSE) thresholds. The approach iteratively performs CST simulations guided by PSO, enabling the creation of high-performance, application-specific meta-surfaces. The approach's effectiveness and adaptability is exemplified by the design of transmissive meta-surfaces for linear-to-right-hand elliptical and linear-to-left-hand elliptical polarization conversion.",

author = "Anand Kumar and Yugesh Chandrakapure and Joshi, \{Alok Chandra\} and Akhlesh Lakhtakia and Debdeep Sarkar",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 ; Conference date: 13-07-2025 Through 18-07-2025",

year = "2025",

doi = "10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816",

language = "English (US)",

series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "389--392",

booktitle = "2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings",

address = "United States",

}

Kumar, A, Chandrakapure, Y, Joshi, AC, Lakhtakia, A & Sarkar, D 2025, Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm. in 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings. IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), Institute of Electrical and Electronics Engineers Inc., pp. 389-392, 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025, Ottawa, Canada, 7/13/25. https://doi.org/10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm. / Kumar, Anand; Chandrakapure, Yugesh; Joshi, Alok Chandra et al.
2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2025. p. 389-392 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm

AU - Kumar, Anand

AU - Chandrakapure, Yugesh

AU - Joshi, Alok Chandra

AU - Lakhtakia, Akhlesh

AU - Sarkar, Debdeep

PY - 2025

Y1 - 2025

N2 - An automated design approach for pixelated meta-surfaces is suitable for applications such as bandpass filtering and polarization conversion (linear-to-linear, circular, or elliptical). This approach leverages the bio-inspired Particle Swarm Optimization (PSO) algorithm within a MATLAB-CST co-simulation framework to efficiently optimize pixel configurations for the meta-atoms. Users can define key design parameters through a user-friendly MATLAB interface, including pixel grid size, constitutive properties, and mean-square-error (MSE) thresholds. The approach iteratively performs CST simulations guided by PSO, enabling the creation of high-performance, application-specific meta-surfaces. The approach's effectiveness and adaptability is exemplified by the design of transmissive meta-surfaces for linear-to-right-hand elliptical and linear-to-left-hand elliptical polarization conversion.

AB - An automated design approach for pixelated meta-surfaces is suitable for applications such as bandpass filtering and polarization conversion (linear-to-linear, circular, or elliptical). This approach leverages the bio-inspired Particle Swarm Optimization (PSO) algorithm within a MATLAB-CST co-simulation framework to efficiently optimize pixel configurations for the meta-atoms. Users can define key design parameters through a user-friendly MATLAB interface, including pixel grid size, constitutive properties, and mean-square-error (MSE) thresholds. The approach iteratively performs CST simulations guided by PSO, enabling the creation of high-performance, application-specific meta-surfaces. The approach's effectiveness and adaptability is exemplified by the design of transmissive meta-surfaces for linear-to-right-hand elliptical and linear-to-left-hand elliptical polarization conversion.

UR - https://www.scopus.com/pages/publications/105030848499

UR - https://www.scopus.com/pages/publications/105030848499#tab=citedBy

U2 - 10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

DO - 10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

M3 - Conference contribution

AN - SCOPUS:105030848499

T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

SP - 389

EP - 392

BT - 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025

Y2 - 13 July 2025 through 18 July 2025

ER -

Kumar A, Chandrakapure Y, Joshi AC, Lakhtakia A, Sarkar D. Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm. In 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, AP-S/CNC-USNC-URSI 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2025. p. 389-392. (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). doi: 10.1109/AP-S/CNC-USNC-URSI55537.2025.11266816

Automated Design of Pixelated Metasurfaces Using Bio-Inspired Algorithm

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this