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Modeling of Microstructure Evolution: Mesoscale Challenges

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Handbook of Materials Modeling

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Abstract

This introductory chapter presents a perspective on multiscale modeling that emphasizes the role and challenges of mesoscale methods and their impact on understanding and predicting material properties. The predictive power of the combined experimental, theoretical, and computational mesoscale approaches is illustrated by a brief discussion of the phase field method and its application to microstructure evolution. After summarizing the main ideas of each chapter in the section, the state of the art and the future of the field are examined by asking and answering four questions: Is the 3-D representation always necessary?, Do mesoscale computational methods capture nonequilibrium?, To what degree are mesoscale methods quantitative?, and Are mesoscale methods computationally efficient?

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Author information

Authors and Affiliations

  1. Intelligent Materials Design, Applied Materials Division, Argonne National Laboratory, Argonne, IL, USA

    Marius Stan

  2. Los Alamos National Laboratory, Los Alamos, NM, USA

    John L. Sarrao

Authors
  1. Marius Stan
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  2. John L. Sarrao
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Corresponding author

Correspondence to John L. Sarrao .

Editor information

Editors and Affiliations

  1. Institute of Physics, Swiss Federal Institute of Technology – Lausanne, Lausanne, Switzerland

    Wanda Andreoni

  2. Department of Nuclear Science and Engineering, Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

    Sidney Yip

Section Editor information

  1. No affiliation provided

    John Sarrao

  2. No affiliation provided

    Marius Stan

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Stan, M., Sarrao, J.L. (2020). Modeling of Microstructure Evolution: Mesoscale Challenges. In: Andreoni, W., Yip, S. (eds) Handbook of Materials Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-44677-6_77

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