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 | - |
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