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From multiscale modeling to meso-science: a chemical engineering perspective

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 consid...

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Detalles Bibliográficos
Autores principales: Li, Jinghai, Ge, Wei, Wang, Wei, Yang, Ning, Liu, Xinhua, Wang, Limin, He, Xianfeng, Wang, Xiaowei, Wang, Junwu, Kwauk, Mooson
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-35189-1
http://cds.cern.ch/record/1537732
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author Li, Jinghai
Ge, Wei
Wang, Wei
Yang, Ning
Liu, Xinhua
Wang, Limin
He, Xianfeng
Wang, Xiaowei
Wang, Junwu
Kwauk, Mooson
author_facet Li, Jinghai
Ge, Wei
Wang, Wei
Yang, Ning
Liu, Xinhua
Wang, Limin
He, Xianfeng
Wang, Xiaowei
Wang, Junwu
Kwauk, Mooson
author_sort Li, Jinghai
collection CERN
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-minimization 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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publishDate 2013
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spelling cern-15377322021-04-21T22:49:49Zdoi:10.1007/978-3-642-35189-1http://cds.cern.ch/record/1537732engLi, JinghaiGe, WeiWang, WeiYang, NingLiu, XinhuaWang, LiminHe, XianfengWang, XiaoweiWang, JunwuKwauk, MoosonFrom multiscale modeling to meso-science: a chemical engineering perspectiveEngineeringMultiscale 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-minimization 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.Springeroai:cds.cern.ch:15377322013
spellingShingle Engineering
Li, Jinghai
Ge, Wei
Wang, Wei
Yang, Ning
Liu, Xinhua
Wang, Limin
He, Xianfeng
Wang, Xiaowei
Wang, Junwu
Kwauk, Mooson
From multiscale modeling to meso-science: a chemical engineering perspective
title From multiscale modeling to meso-science: a chemical engineering perspective
title_full From multiscale modeling to meso-science: a chemical engineering perspective
title_fullStr From multiscale modeling to meso-science: a chemical engineering perspective
title_full_unstemmed From multiscale modeling to meso-science: a chemical engineering perspective
title_short From multiscale modeling to meso-science: a chemical engineering perspective
title_sort from multiscale modeling to meso-science: a chemical engineering perspective
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-35189-1
http://cds.cern.ch/record/1537732
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