Towards Mesoscience

The Principle of Compromise in Competition

  • Jinghai Li
  • Wenlai Huang

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Jinghai Li, Wenlai Huang
    Pages 1-6
  3. Jinghai Li, Wenlai Huang
    Pages 19-31
  4. Jinghai Li, Wenlai Huang
    Pages 33-44
  5. Jinghai Li, Wenlai Huang
    Pages 45-49
  6. Jinghai Li, Wenlai Huang
    Pages 51-61
  7. Jinghai Li, Wenlai Huang
    Pages 63-69
  8. Back Matter
    Pages 71-78

About this book

Introduction

This brief is devoted to providing a complete outline of meso-science by briefing the relevant contents from the published book and by updating evidences and concepts of meso-science. The importance of meso-science in solving various problems in energy, resource, and the environment is introduced.  The whole evolutionary development of the EMMS principle is reviewed to show how a simple idea on the customized modeling of particle clustering in gas-solid systems was developed, verified, extended, and finally generalized into the common principle of compromise in competition between dominant mechanisms for all mesoscale phenomena in science and engineering, leading to the proposition of meso-science. More importantly, updates on the concept of meso-science and perspectives are presented, along with new insights and findings from after the publication of the original book. In this way, we hope to help readers more easily familiarize themselves with meso-science, and to trigger interest and attention to this interdisciplinary field.

 Application areas include:

  • multiphase flow and fluid dynamics
  • chemical, biochemical and process engineering
  • mineral processing and metallurgical engineering
  • energy and resources
  • material science and engineering

Jinghai Li is vice president of Chinese Academy of Sciences (CAS), professor at Institute of Process Engineering of CAS. Wenlai Huang is associate professor at Institute of Process Engineering of CAS.

This book has been translated into Chinese and published by Science Press, please visit here for the Chinese version: http://www.sciencep.com/s_single.php?id=35751

Keywords

Chemical engineering Complexity Compromise in competition Computational fluid dynamics Drag EMMS model EMMS paradigm Fluidized bed GPU Mesoscale Mesoscience Multi-objective variational criterion Multiscale modeling Reactor scaling-up Stability condition Supercomputing Universality Virtual process engineering Virtual reality xPU

Authors and affiliations

  • Jinghai Li
    • 1
  • Wenlai Huang
    • 2
  1. 1.Inst. Process Engineering (IPE)Chinese Academy of SciencesBeijingPeople's Republic of China
  2. 2.Institute of Process EngineeringChinese Academy of SciencesBeijingPeople's Republic of China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-41790-0
  • Copyright Information The Author(s) 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-41789-4
  • Online ISBN 978-3-642-41790-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • About this book
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