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From Multiscale Modeling to Meso-Science

A Chemical Engineering Perspective

Xinhua Liu, Jinghai Li, Limin Wang, et al.

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Springer Berlin img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Maschinenbau, Fertigungstechnik

Beschreibung

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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Schlagwörter

chemical processes, high performance computation, GPU, computational fluid dynamics, CPU, EMMS, competition, complexity, coordination, multi-scale and multiscale, micro-scale and microscale, multi-phase system and multiphase system, complex systems, stability condition, compromise, meso-scale and mesoscale, virtual process engineering, meso-science and mesoscience