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Multiple Length and Time-scale Approaches in Materials Modeling

Received: 04 August 2016    Accepted: 21 August 2016    Published: 03 September 2016
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Abstract

Multiscale modeling has become an essential tool in understanding and designing materials and physical systems with characteristics at multiple length and time scales. Although modern computational techniques are able to track the material behaviors from the nano-scale atomic vibrations at femtoseconds to the macroscopic plastic deformations of metals at seconds, simulations of physical phenomena of engineering interest are often limited by overwhelming computation time. The objective of multiscale methods is to predict the important physical behaviors without resolving the full details of the system, through averaging/coarse-graining the structure in length and/or extracting the slow time-scale dynamics. This paper reviews the state-of-the-art multiscale methods with applications in material science and biological systems.

DOI 10.11648/j.am.s.2017060101.11
Published in Advances in Materials (Volume 6, Issue 1-1, January 2017)

This article belongs to the Special Issue Advances in Multiscale Modeling Approach

Page(s) 1-9
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Multiscale Modeling, Metals, Composites, Biological Molecules

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  • Thayer School of Engineering, Dartmouth College, New Hampshire, USA

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    Likun Tan. (2016). Multiple Length and Time-scale Approaches in Materials Modeling. Advances in Materials, 6(1-1), 1-9. https://doi.org/10.11648/j.am.s.2017060101.11

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    Likun Tan. Multiple Length and Time-scale Approaches in Materials Modeling. Adv. Mater. 2016, 6(1-1), 1-9. doi: 10.11648/j.am.s.2017060101.11

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    Likun Tan. Multiple Length and Time-scale Approaches in Materials Modeling. Adv Mater. 2016;6(1-1):1-9. doi: 10.11648/j.am.s.2017060101.11

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  • @article{10.11648/j.am.s.2017060101.11,
      author = {Likun Tan},
      title = {Multiple Length and Time-scale Approaches in Materials Modeling},
      journal = {Advances in Materials},
      volume = {6},
      number = {1-1},
      pages = {1-9},
      doi = {10.11648/j.am.s.2017060101.11},
      url = {https://doi.org/10.11648/j.am.s.2017060101.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.am.s.2017060101.11},
      abstract = {Multiscale modeling has become an essential tool in understanding and designing materials and physical systems with characteristics at multiple length and time scales. Although modern computational techniques are able to track the material behaviors from the nano-scale atomic vibrations at femtoseconds to the macroscopic plastic deformations of metals at seconds, simulations of physical phenomena of engineering interest are often limited by overwhelming computation time. The objective of multiscale methods is to predict the important physical behaviors without resolving the full details of the system, through averaging/coarse-graining the structure in length and/or extracting the slow time-scale dynamics. This paper reviews the state-of-the-art multiscale methods with applications in material science and biological systems.},
     year = {2016}
    }
    

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    AB  - Multiscale modeling has become an essential tool in understanding and designing materials and physical systems with characteristics at multiple length and time scales. Although modern computational techniques are able to track the material behaviors from the nano-scale atomic vibrations at femtoseconds to the macroscopic plastic deformations of metals at seconds, simulations of physical phenomena of engineering interest are often limited by overwhelming computation time. The objective of multiscale methods is to predict the important physical behaviors without resolving the full details of the system, through averaging/coarse-graining the structure in length and/or extracting the slow time-scale dynamics. This paper reviews the state-of-the-art multiscale methods with applications in material science and biological systems.
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