Publication: Deep learning-based prediction of band diagrams and mode dispersion in photonic crystal waveguides
dc.contributor.author | Çelen, Ezel Yağmur Zeydan | |
dc.contributor.author | Karlık, Sait Eser | |
dc.contributor.author | IEEE | |
dc.contributor.buuauthor | ZEYDAN ÇELEN, EZEL YAĞMUR | |
dc.contributor.buuauthor | KARLIK, SAİT ESER | |
dc.contributor.department | Bursa Uludağ Üniversitesi | |
dc.contributor.researcherid | KSL-6249-2024 | |
dc.contributor.researcherid | AAJ-2404-2021 | |
dc.date.accessioned | 2025-01-28T11:16:52Z | |
dc.date.available | 2025-01-28T11:16:52Z | |
dc.date.issued | 2024-01-01 | |
dc.description | Bu çalışma, 14-19, Temmuz 2024 tarihlerinde Florence[İtalya]’da düzenlenen IEEE ITNC-USNC-URSI Radio Science Meeting / IEEE International Symposium on Antennas and Propagation (AP-S) Kongresi‘nde bildiri olarak sunulmuştur. | |
dc.description.sponsorship | Inst Elect & Elect Engineers | |
dc.description.sponsorship | Int Union Radio Sci, Italian Natl Comm | |
dc.description.sponsorship | Int Union Radio Sci, US Natl Comm | |
dc.description.sponsorship | IEEE Antennas & Propagat Soc | |
dc.identifier.eissn | 2573-3036 | |
dc.identifier.endpage | 87 | |
dc.identifier.isbn | 978-9-46396-811-9 | |
dc.identifier.issn | 2572-3804 | |
dc.identifier.startpage | 87 | |
dc.identifier.uri | https://ieeexplore.ieee.org/search/searchresult.jsp | |
dc.identifier.uri | https://hdl.handle.net/11452/49877 | |
dc.identifier.wos | 001304429600065 | |
dc.indexed.wos | WOS.ISTP | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.relation.journal | 2024 Ieee Inc-usnc-ursi Radio Science Meeting (Joint With Ap-s Symposium) | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Science & technology | |
dc.subject | Technology | |
dc.subject | Physical sciences | |
dc.subject | Engineering, electrical & electronic | |
dc.subject | Remote sensing | |
dc.subject | Physics, applied | |
dc.subject | Telecommunications | |
dc.subject | Engineering | |
dc.subject | Physics | |
dc.title | Deep learning-based prediction of band diagrams and mode dispersion in photonic crystal waveguides | |
dc.type | Proceedings Paper | |
dspace.entity.type | Publication | |
local.contributor.department | Bursa Uludağ Üniversitesi | |
local.indexed.at | WOS | |
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relation.isAuthorOfPublication.latestForDiscovery | 8e21b1d2-94f7-4328-a24a-b4b6d8f74803 |