Cited time in webofscience Cited time in scopus

Full metadata record

DC Field Value Language
dc.contributor.advisor 강준구 -
dc.contributor.author Sanghui Kim -
dc.date.accessioned 2019-10-02T16:01:52Z -
dc.date.available 2019-10-02T16:01:52Z -
dc.date.issued 2019 -
dc.identifier.uri http://dgist.dcollection.net/common/orgView/200000171458 en_US
dc.identifier.uri http://hdl.handle.net/20.500.11750/10704 -
dc.description.statementofresponsibility prohibition -
dc.description.tableofcontents Abstract i
List of contents ii
List of figures iii

1. Introduction
1.1 Methods to calculate thermal conductivity 2
1.2 Solid-liquid hybrid phase Cu2S 3
2. Methods
2.1 Atomic simulation using machine learning 6
2.2 Green-Kubo method 12
3. Results and Discussion
3.1 Atomic energy 15
3.2 Thermal conductivity 18
4. Conclusion
-
dc.format.extent 24 -
dc.language eng -
dc.publisher DGIST -
dc.source /home/dspace/dspace53/upload/200000171458.pdf -
dc.title Theoretical study of the thermal conduction in Cu2S using machine learning-based interatomic potentials -
dc.type Thesis -
dc.identifier.doi 10.22677/thesis.200000171458 -
dc.description.degree MASTER -
dc.contributor.department Emerging Materials Science -
dc.contributor.coadvisor Doo Seok Lee -
dc.date.awarded 2019-02 -
dc.publisher.location Daegu -
dc.description.database dCollection -
dc.citation XT.MM 김52 201902 -
dc.date.accepted 2019-01-30 -
dc.contributor.alternativeDepartment 신물질과학전공 -
dc.embargo.liftdate 2023-11-01 -
dc.contributor.affiliatedAuthor Kang, Joongoo -
dc.contributor.affiliatedAuthor Kim, Sanghui -
dc.contributor.affiliatedAuthor Lee, Dooseok -
dc.contributor.alternativeName 이두석 -
dc.contributor.alternativeName 김상희 -
dc.contributor.alternativeName Joongoo Kang -
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Department of Physics and Chemistry Theses Master

qrcode

  • twitter
  • facebook
  • mendeley

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

BROWSE