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Thermodynamically Consistent Physics-Informed Data-Driven Computing and Reduced-Order Modeling of Nonlinear Materials.
Thermodynamically Consistent Physics-Informed Data-Driven Computing and Reduced-Order Modeling of Nonlinear Materials.
- Material Type
- 학위논문
- 0016618083
- Date and Time of Latest Transaction
- 20230206105327
- ISBN
- 9798351426983
- DDC
- 530
- Author
- He, Xiaolong.
- Title/Author
- Thermodynamically Consistent Physics-Informed Data-Driven Computing and Reduced-Order Modeling of Nonlinear Materials.
- Publish Info
- [S.l.] : University of California, San Diego., 2022
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2022
- Material Info
- 236 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
- General Note
- Advisor: Chen, Jiun-Shyan.
- 학위논문주기
- Thesis (Ph.D.)--University of California, San Diego, 2022.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computational physics.
- Subject Added Entry-Topical Term
- Mechanics.
- Subject Added Entry-Topical Term
- Applied mathematics.
- Index Term-Uncontrolled
- Computational mechanics
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Nonlinear materials modeling
- Index Term-Uncontrolled
- Physics-informed data-driven computing
- Index Term-Uncontrolled
- Reduced-order modeling
- Index Term-Uncontrolled
- Thermodynamics
- Added Entry-Corporate Name
- University of California, San Diego Structural Engineering
- Host Item Entry
- Dissertations Abstracts International. 84-03B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202302 2023
- Control Number
- joongbu:624171
Detail Info.
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