From Multiscale Modeling to Meso-Science
| Autor: | Jinghai Li, Wei Ge, Wei Wang, Ning Yang, Xinhua Liu, Limin Wang, Xianfeng He, Xiaowei Wang, Junwu Wa |
|---|---|
| EAN: | 9783642351891 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 22.03.2013 |
| Untertitel: | A Chemical Engineering Perspective |
| Kategorie: | |
| Schlagworte: | CPU EMMS GPU chemical processes competition complex systems compromise computational fluid dynamics coordination high performance computation meso-scale and mesoscale meso-science and mesoscience micro-scale and microscale multi-phase sy |
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Multiscale modeling is becoming essential for accurate, rapid simulation in science and engineering. This book presents the results of three decades of research on multiscale modeling in process engineering from principles to application, and its generalization for different fields. This book considers the universality of meso-scale phenomena for the first time, and provides insight into the emerging discipline that unifies them, meso-science, as well as new perspectives for virtual process engineering.
Multiscale modeling is applied in areas including:
- multiphase flow and fluid dynamics
- chemical, biochemical and process engineering
- mineral processing and metallurgical engineering
- energy and resources
- materials science and engineering
Jinghai Li is Vice-President of the Chinese Academy of Sciences (CAS), a professor at the Institute of Process Engineering, CAS, and leader of the EMMS (Energy-minimizing multiscale) Group.
Wei Ge, Wei Wang, Ning Yang and Junwu Wang are professors at the EMMS Group, part of the Institute of Process Engineering, CAS.
Xinhua Liu, Limin Wang, Xianfeng He and Xiaowei Wang are associate professors at the EMMS Group, part of the Institute of Process Engineering, CAS.
Mooson Kwauk is an emeritus director of the Institute of Process Engineering, CAS, and is an advisor to the EMMS Group.
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