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International Journal for Multiscale Computational Engineering

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ISSN Печать: 1543-1649

ISSN Онлайн: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

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SPECIAL ISSUE
Multiscale Model-Based Simulation with Applications to Nano and Bio Systems For the 8th World Congress on Computational Mechanics

Z. Chen

Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO 65211-2200, USA

E. P. Chen

Science-Based Material Modeling Department, Sandia National Laboratories, Livermore, CA 94551-0969, USA

H. E. Fang

Computational Materials Science and Engineering Department, Sandia National Laboratories, Albuquerque, NM 87185-1411, USA

H. W. Zhang

Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China

Z. Zhuang

Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China


FOREWORD

Advances in nanoscience and engineering are rapidly changing the daily life of the human being in the global economy. In particular, nanomechanics and nanomaterials are playing an increasingly important role in biological and biomedical applications. This new generation of biomaterials has unique structures and properties and could revolutionize not only the medical practice, in particular, but also life science and engineering, in general. Understanding the behavior of nano- and biosystems is of great scientific interest and technological importance and requires concurrent development of experiments, theory, modeling, and simulation. The aim of this mini-symposium organized for the 8th World Congress on Computational Mechanics (WCCM8) is to provide an exposition of the current state of the art on multiscale model-based simulation of diverse responses of nano- and biosystems. Efforts have been made to highlight the integration of modeling, simulations, and experiments in nanomechanics and nanomaterials. Presentations are in all the subtopics on bio- and nanomechanics and materials, which include, but are not limited to, the following:

  1. Applications of nano- and biomechanics and materials

  2. Multiscale modeling and simulation procedures

  3. Nanoscale experiments in life science and engineering

  4. Optimization of multiscale microstructures of biomaterials

  5. Micro ElectroMechanical Systems (MEMS) and Nano Electromechanical Systems (NEMS) devices for drug delivery and treatment

  6. The interface between nano- and biomechanics

This special issue is a collection of the full papers selected based on a peer-review process. We hope that this special issue and subsequent ones will promote international collaboration in research and education and make an immediate contribution to the progress of nanoscience and nanotechnology by disseminating new findings and integrating different team efforts among active researchers and educators.

We would like to thank the authors for their excellent contributions, the reviewers for their discerning comments on the papers, and the publisher for making this special issue possible.

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