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Construction of material database through automation of first-principles calculation : 제일원리계산 자동화를 통한 데이터 베이스 구축

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dc.contributor.advisor한승우-
dc.contributor.author김도연-
dc.date.accessioned2020-05-07T03:38:03Z-
dc.date.available2020-05-07T03:38:03Z-
dc.date.issued2020-
dc.identifier.other000000160582-
dc.identifier.urihttp://dcollection.snu.ac.kr/common/orgView/000000160582ko_KR
dc.description학위논문(석사)--서울대학교 대학원 :공과대학 재료공학부,2020. 2. 한승우.-
dc.description.abstractRecently, the importance of open source database is increasing as a new methodology for material discovery. We introduced material database using automation code AMP2 that provides sophisticated and reliable calculation results for the band structure, band gap, effective mass, density of states and dielectric constant. Although there are several databases that provide theoretical properties for most inorganic materials present in ICSD, our database has an advantage on diverse material systems and providing effective mass of hole and electron, dielectric constant and HSE band gap energy that require large computational power. We find the workflow that can give consistence results and provide material database to the public to get the active feedback from the users. This material database would be utilized for material discovery and providing reliable data sets for prediction of material properties.-
dc.description.tableofcontentsAbstract
Contents
List of Table and Figures
1. Introduction
1.1 Material design and material database 1
1.2 Material property prediction with machine learning 2
2. Computational theory and methods
2.1 DFT and beyond DFT 4
2.1.1 Density functional theory 4
2.1.2 Beyond DFT 7
2.1.3 Spin orbit coupling and band gap 8
2.2 Automation algorithms 11
2.2.1 Workflow of automation code 11
2.2.2 Collecting structures of materials 13
2.3 Method for structure relaxation 15
2.3.1 Convergence test 15
2.3.2 Optimizing structures 17
2.3.3 Magnetic convergence 17
2.4 Method for band gap and density of states 20
2.4.1 Band structure and density of states 20
2.4.2 Identification of small-gap materials 23
2.5 Method for effective mass of hole and electron 25
2.6 Method for dielectric constant 26
3. Result and discussion
3.1 Performance of automation code 28
3.2 Crystal system of materials 29
3.3 Material database; SNUMAT 33
3.4 Data validation 35
3.4.1 PBE band gap HSE one shot band gap 35
3.4.2 Band gap with spin orbit coupling (SOC) 38
3.5 Future works 42
3.5.1 High pressure or temperature materials 42
3.5.2 Materials map with electronic properties 44
4. Conclusion
Bibliography
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dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subject.ddc620.1-
dc.titleConstruction of material database through automation of first-principles calculation-
dc.title.alternative제일원리계산 자동화를 통한 데이터 베이스 구축-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.department공과대학 재료공학부-
dc.description.degreeMaster-
dc.date.awarded2020-02-
dc.identifier.uciI804:11032-000000160582-
dc.identifier.holdings000000000042▲000000000044▲000000160582▲-
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