Semiconductor Device Modeling By Utilizing Physics-informed Machine Learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김보겸 | ko |
| dc.contributor.author | 신민철 | ko |
| dc.date.accessioned | 2023-12-05T06:01:18Z | - |
| dc.date.available | 2023-12-05T06:01:18Z | - |
| dc.date.created | 2023-11-27 | - |
| dc.date.issued | 2023-05 | - |
| dc.identifier.citation | 2023 KSIAM 춘계학회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/315724 | - |
| dc.language | English | - |
| dc.publisher | 한국산업응용수학회 | - |
| dc.title | Semiconductor Device Modeling By Utilizing Physics-informed Machine Learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 2023 KSIAM 춘계학회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 평창 알펜시아 | - |
| dc.contributor.localauthor | 신민철 | - |
- Appears in Collection
- EE-Conference Papers(학술회의논문)
- Files in This Item
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.