Designing Nonlinear Optoelectronic Devices with Numerical Optimization: Lessons Learned

Simple item page
dc.contributor.authorSimsek, Ergun
dc.contributor.authorAnjum, Ishraq Md
dc.contributor.authorMenyuk, Curtis
dc.date.accessioned2024-03-05T22:00:33Z
dc.date.available2024-03-05T22:00:33Z
dc.date.issued2023-08-28
dc.description2023 Photonics & Electromagnetics Research Symposium (PIERS), Prague, Czech Republic, 03-06 July 2023.
dc.description.abstractPhotodetectors are widely used in various applications with different requirements. Choosing the right group of semiconductor materials and adjusting the parameters of the layers that form the photodetectors are crucial for optimizing their performance. This paper investigates the suitability of four numerical optimization methods - genetic algorithm, particle swarm optimization, surrogate algorithm, and the Nelder-Mead simplex algorithm - for the design of photodetectors by comparing the performance of the methods. The findings of this study can aid in selecting the right numerical optimization technique for designing photodetector-like opto-electronic devices with optimal performance for specific applications.
dc.description.urihttps://ieeexplore.ieee.org/document/10221428
dc.format.extent3 pages
dc.genreconference papers and proceedings
dc.genrepreprints
dc.identifierdoi:10.13016/m2bkjp-bciz
dc.identifier.citationE. Simsek, I. M. Anjum and C. R. Menyuk, "Designing Nonlinear Optoelectronic Devices with Numerical Optimization: Lessons Learned," 2023 Photonics & Electromagnetics Research Symposium (PIERS), Prague, Czech Republic, 2023, pp. 135-137, doi: 10.1109/PIERS59004.2023.10221428.
dc.identifier.urihttps://doi.org/10.1109/PIERS59004.2023.10221428
dc.identifier.urihttp://hdl.handle.net/11603/31812
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Data Science
dc.rights© 2023 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.titleDesigning Nonlinear Optoelectronic Devices with Numerical Optimization: Lessons Learned
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9075-7071
dcterms.creatorhttps://orcid.org/0009-0000-3447-6099
dcterms.creatorhttps://orcid.org/0000-0003-0269-8433

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
cp077.pdf
Size:
886.56 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Data Science
UMBC Faculty Collection
UMBC Student Collection