9783642351884-3642351883-From Multiscale Modeling to Meso-Science

From Multiscale Modeling to Meso-Science

ISBN-13: 9783642351884
ISBN-10: 3642351883
Edition: 2013
Author: Li
Publication date: 2013
Publisher: Springer
Format: Hardcover 512 pages
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Book details

ISBN-13: 9783642351884
ISBN-10: 3642351883
Edition: 2013
Author: Li
Publication date: 2013
Publisher: Springer
Format: Hardcover 512 pages

Summary

Acknowledged author Li wrote From Multiscale Modeling to Meso-Science comprising 512 pages back in 2013. Textbook and eTextbook are published under ISBN 3642351883 and 9783642351884. Since then From Multiscale Modeling to Meso-Science textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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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