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Thermodynamic and Transport Properties of Aviation Turbine Fuel: Predictive Approaches Using Entropy Scaling Guided Machine Learning with Experimental Validation.
Thermodynamic and Transport Properties of Aviation Turbine Fuel: Predictive Approaches Using Entropy Scaling Guided Machine Learning with Experimental Validation.
- 자료유형
- 학위논문
- Control Number
- 0016616129
- International Standard Book Number
- 9798834015796
- Dewey Decimal Classification Number
- 536
- Main Entry-Personal Name
- Malatesta, William Anthony.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of Maryland, College Park., 2022
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Physical Description
- 160 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
- General Note
- Advisor: Yang, Bao.
- Dissertation Note
- Thesis (Ph.D.)--University of Maryland, College Park, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Thermodynamics.
- Index Term-Uncontrolled
- Aviation turbine fuel
- Index Term-Uncontrolled
- Entropy scaling
- Index Term-Uncontrolled
- Fluid properties
- Index Term-Uncontrolled
- Machine learning
- Added Entry-Corporate Name
- University of Maryland, College Park Mechanical Engineering
- Host Item Entry
- Dissertations Abstracts International. 83-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:625035
