Detailed Information

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

Multiphysics-informed DeepONet for predicting thermal runaway of lithium-ion batteries

Full metadata record
DC Field Value Language
dc.contributor.author오기용-
dc.date.accessioned2023-07-05T05:24:45Z-
dc.date.available2023-07-05T05:24:45Z-
dc.date.issued2023-05-25-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/186450-
dc.titleMultiphysics-informed DeepONet for predicting thermal runaway of lithium-ion batteries-
dc.typeConference-
dc.citation.conferenceName2023 한국비파괴검사학회 춘계학술대회-
dc.citation.conferencePlace부산항국제전시컨벤션센터-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 공과대학 > 서울 기계공학부 > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Oh, Ki-Yong photo

Oh, Ki-Yong
COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE