Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Deep Learning-based Inverse Design Framework: A Case Study of a Defective Phononic Crystal for Narrowband Filtering

Full metadata record
DC Field Value Language
dc.contributor.author조수호-
dc.date.accessioned2025-01-18T00:30:49Z-
dc.date.available2025-01-18T00:30:49Z-
dc.date.issued2024-05-21-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/57277-
dc.titleDeep Learning-based Inverse Design Framework: A Case Study of a Defective Phononic Crystal for Narrowband Filtering-
dc.typeConference-
dc.citation.startPage43-
dc.citation.endPage43-
dc.citation.conferenceNameAsian Congress of Structural and Multidisciplinary Optimization (ACMSO) 2024-
dc.citation.conferencePlace대한민국-
dc.citation.conferenceDate2024-05-19 ~ 2024-05-23-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Mechanical, Robotics and Energy Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jo, Soo Ho photo

Jo, Soo Ho
College of Engineering (Department of Mechanical, Robotics and Energy Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE