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Neural-network-based design of tunable multilayer films
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Jungmin | - |
| dc.contributor.author | Yu, Sunkyu | - |
| dc.contributor.author | Park, Namkyoo | - |
| dc.date.accessioned | 2024-05-16T01:08:44Z | - |
| dc.date.available | 2024-05-16T01:08:44Z | - |
| dc.date.created | 2023-04-25 | - |
| dc.date.created | 2023-04-25 | - |
| dc.date.issued | 2021-01 | - |
| dc.identifier.citation | Optics InfoBase Conference Papers, p. JW4B.3 | - |
| dc.identifier.uri | https://hdl.handle.net/10371/202201 | - |
| dc.description.abstract | We introduce the data-driven design of multilayers with enhanced tunability. By applying the machine-learning-designed claddings to a phase-changeable core, we obtain the deterministic realization of on-off states in the angular transmittance, achieving tunable engineered disorder. | - |
| dc.language | 영어 | - |
| dc.publisher | The Optical Society | - |
| dc.title | Neural-network-based design of tunable multilayer films | - |
| dc.type | Article | - |
| dc.citation.journaltitle | Optics InfoBase Conference Papers | - |
| dc.identifier.scopusid | 2-s2.0-85119507836 | - |
| dc.citation.startpage | JW4B.3 | - |
| dc.description.isOpenAccess | N | - |
| dc.contributor.affiliatedAuthor | Yu, Sunkyu | - |
| dc.contributor.affiliatedAuthor | Park, Namkyoo | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 1 | - |
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Related Researcher
- Yu, Sunkyu유선규
- 조교수
- College of Engineering
- Department of Electrical and Computer Engineering
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