The challenge to link understanding and manipulation at the microscale to functional behaviour at the macroscale defines the frontiers of mesoscale science.
This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Dynamical phase-field model of coupled electronic and structural processes
npj Computational Materials Open Access 22 June 2022
-
Identifying chemically similar multiphase nanoprecipitates in compositionally complex non-equilibrium oxides via machine learning
Communications Materials Open Access 19 April 2022
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
President's Information Technology Advisory Committee Computational Science: Ensuring America's Competitiveness (June, 2005); available via http://go.nature.com/pXa64m
Report of the National Science Foundation Blue Ribbon Panel on Simulation-based Engineering Science Simulation-Based Engineering Science: Revolutionizing Engineering Science through Simulation (February 2006); http://www.nsf.gov/pubs/reports/sbes_final_report.pdf
World Technology Evaluation Center Panel Report International Assessment of Research and Development in Simulation-Based Engineering and Science (2009); http://www.wtec.org/sbes
US Department of Energy Basic Energy Science Report From Quanta to the Continuum: Opportunities for Mesoscale Science (September, 2012); http://www.meso2012.com.
National Research Council Integrated Computational Materials Engineering: A Transformational Discipline for Improved Competitiveness and National Security (NAS, 2008); http://www.nap.edu/catalog/12199.html
Materials Genome Initiative for Global Competitiveness (June, 2011); available via http://go.nature.com/Rkw2mj
Yip, S. (ed.) Handbook of Materials Modeling (Springer, 2006).
Konings, R. (ed.) Comprehensive Nuclear Materials (Elsevier, 2012).
Yip, S. Nature Mater. 2, 3–5 (2003).
Bader, S. APS News 21, 8 (2012).
Crabtree, G. W. & Sarrao, J. L. Mater. Res. Soc. Bull. 37, 1079–1088 (2012).
Laughlin, R. B., Pines, D., Schmalian, J., Stojkovic, B. P. & Wolynes, P. Proc. Natl Acad. Sci. USA 97, 32–37 (2000).
Angell, C. A. J. Phys. Chem. Solids 49, 863–871 (1988).
Kushima, A. et al. J. Chem. Phys. 130, 224504 (2009).
Kushima, A. et al. J. Chem. Phys. 131, 164505 (2009).
Li, J. et al. PLoS ONE 6, e17909 (2011).
Brush, S. G. Chem. Rev. 62, 513–548 (1962).
Liao, A. & Parrinello, M. Proc. Natl Acad. Sci. USA 99, 12562–12566 (2002).
Stillinger, F. H. J. Chem. Phys. 88, 7818–7825 (1988).
Mallamace, F. et al. Proc. Natl Acad. Sci. USA 28, 22457–22462 (2010).
Fan, Y., Osetsky, Y., Yip, S. & Yildiz, B. Phys. Rev. Lett. 109, 135503 (2012).
Armstrong, R. W., Arnold, W. & Zerilli, F. J. Appl. Phys. 105, 023511 (2009).
Chen, L. B., Ackerson, B. J. & Zukoski, C. F. J. Rheology 38, 193–216 (1994).
Kushima, A., Eapen, J., Li, J., Yip, S. & Zhu, T. Eur. Phys. J. B 82, 271–293 (2011).
Gartner, E. M., Young, J. F., Dadot, D. A. & Jawed, I. in Structure and Performance of Cements 2nd edn (eds Barnes, P. & Bensted, J.) 57–113 (Spon, 2002).
Lootens, D., Hebraud, P., Lecolier, E. & Van Damme, H. Oil Gas Sci. Technol. 59, 31–40 (2004).
Jönsson, B., Nonat, A., Labbez, C., Cabane, B. & Wennerström, H. Langmuir 21, 9211–9221 (2005).
Bullard, J. W. et al. Cem. Concr. Res. 41, 1208–1223 (2011).
Masoero, E., Del Gado, E., Pellenq, R. J-M., Ulm, F-J. & Yip, S. Phys. Rev. Lett. 109, 155503 (2012).
Jennings, H. M. Cem. Concr. Res. 37, 275–336 (2007).
Pellenq, R. J-M. et al. Proc. Natl Acad. Sci. USA 106, 16102–16107 (2009).
Van Vliet, K. et al. Mater. Res. Soc. Bull. 37, 395–402 (2012).
Wiederhorn, S. M. J. Am. Ceram. Soc. 50, 407–414 (1967).
Ciccotti, M. J. Phys. D 42, 214006 (2009).
Proceedings of QMN-4 Fourth Meeting of Quantitative Micro Nano (QMN) Approach to Predicting Stress Corrosion Cracking (Sun Valley, Idaho, June 12–17, 2013); available via http://www.staehleconsulting.com/
Edsinger, K., Stanek, C. R. & Wirth, B. D. JOM 63, 49–52 (2011).
Deshon, J. et al. JOM 63, 64–72 (2011).
Acknowledgements
We thank A.S. Argon, S.-H. Chen, E. Del Gado, Y. Fan, H.M. Jennings, E. Masoero, R.J-M. Pellenq, F.-J. Ulm, K.J. Van Vliet, D. Wolf and B. Yildiz for discussions of materials behaviour at the mesoscale. M.S. and S.Y. acknowledge support by the Consortium for Advanced Simulation of Light Water Reactors, an Energy Innovation Hub for Modeling and Simulation of Nuclear Reactors under US-DOE Contract No. DE-AC05-00OR22725. S.Y. also acknowledges the Concrete Sustainability Hub at MIT sponsored by the Portland Cement Association and the National Ready Mix Concrete Association, and the US-DOE-Basic Energy Sciences, Grant No. DE-SC0002633.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yip, S., Short, M. Multiscale materials modelling at the mesoscale. Nature Mater 12, 774–777 (2013). https://doi.org/10.1038/nmat3746
Published:
Issue Date:
DOI: https://doi.org/10.1038/nmat3746
This article is cited by
-
Dynamical phase-field model of coupled electronic and structural processes
npj Computational Materials (2022)
-
Identifying chemically similar multiphase nanoprecipitates in compositionally complex non-equilibrium oxides via machine learning
Communications Materials (2022)
-
Effect of functionalization on the interface transfer properties of CNT electrode in Li-air batteries by mesoscopic simulations
Journal of Solid State Electrochemistry (2022)
-
Experimental tests for a liquid-liquid critical point in water
Science China Physics, Mechanics & Astronomy (2020)