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 | ![]() |