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Zinc Oxide Nanoporous Superhydrophilic Surfaces: a Synthesis of Experimental Durability Testing and Droplet Vaporization Model Development Using Machine Learning Methods
Zinc Oxide Nanoporous Superhydrophilic Surfaces: a Synthesis of Experimental Durability Testing and Droplet Vaporization Model Development Using Machine Learning Methods
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798535552286
- DDC
- 621
- 저자명
- McClure, Emma R.
- 서명/저자
- Zinc Oxide Nanoporous Superhydrophilic Surfaces: a Synthesis of Experimental Durability Testing and Droplet Vaporization Model Development Using Machine Learning Methods
- 발행사항
- [Sl] : University of California, Berkeley, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 173 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Carey, Van P.
- 학위논문주기
- Thesis (D.Eng.)--University of California, Berkeley, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Mechanical engineering
- 일반주제명
- Thermodynamics
- 일반주제명
- Heat transfer
- 일반주제명
- Manufacturing
- 일반주제명
- Acids
- 일반주제명
- Datasets
- 일반주제명
- Gravity
- 일반주제명
- Viscosity
- 일반주제명
- Experiments
- 일반주제명
- Genetic algorithms
- 일반주제명
- Neural networks
- 일반주제명
- Zinc oxides
- 일반주제명
- Data analysis
- 일반주제명
- Contact angle
- 일반주제명
- Efficiency
- 일반주제명
- Artificial intelligence
- 키워드
- Durability
- 키워드
- Neural network
- 키워드
- Superhydrophilic
- 키워드
- ZnO nanoporous
- 기타저자
- University of California, Berkeley Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798535552286
■035 ▼a(MiAaPQ)AAI28498269
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aMcClure, Emma R.
■24510▼aZinc Oxide Nanoporous Superhydrophilic Surfaces: a Synthesis of Experimental Durability Testing and Droplet Vaporization Model Development Using Machine Learning Methods
■260 ▼a[Sl]▼bUniversity of California, Berkeley▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a173 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Carey, Van P.
■5021 ▼aThesis (D.Eng.)--University of California, Berkeley, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0028.
■650 4▼aMechanical engineering
■650 4▼aThermodynamics
■650 4▼aHeat transfer
■650 4▼aManufacturing
■650 4▼aAcids
■650 4▼aDatasets
■650 4▼aGravity
■650 4▼aViscosity
■650 4▼aExperiments
■650 4▼aGenetic algorithms
■650 4▼aNeural networks
■650 4▼aZinc oxides
■650 4▼aData analysis
■650 4▼aContact angle
■650 4▼aEfficiency
■650 4▼aArtificial intelligence
■653 ▼aDroplet vaporization
■653 ▼aDurability
■653 ▼aGenetic algorithm
■653 ▼aNeural network
■653 ▼aSuperhydrophilic
■653 ▼aZnO nanoporous
■690 ▼a0548
■690 ▼a0348
■690 ▼a0800
■71020▼aUniversity of California, Berkeley▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0028
■791 ▼aD.Eng.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052121▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
