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Visual Analytics to Support Atomistic Simulations Design
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Visual Analytics to Support Atomistic Simulations Design. |
| 개인저자 | Mejia Padilla, Daniel Felipe. |
| 단체저자명 | Purdue University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Purdue University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 133 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438332287 |
| 학위논문주기 | Thesis (Ph.D.)--Purdue University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Advisers: Gerhard Klimeck |
| 요약 | Nowadays, complex simulations of a variety of processes are extensively used in academia and industry. Particularly in academia, powerful scientific software tools are constantly developed to simulate complex systems |
| 일반주제명 | Computer engineering. Computer science. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
