Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Computational materials science

Predictions of pinning

A multiscale model has been implemented that provides accurate predictions of the behaviour of ferroelectric materials in electric fields, and might aid efforts to design devices such as sensors and digital memory. See Letter p.360

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Modelling domain motion in ferroelectric materials.

Notes

  1. See all news & views

References

  1. Barabási, A.-L. & Stanley, H. E. Fractal Concepts in Surface Growth (Cambridge Univ. Press, 1995).

    Book  Google Scholar 

  2. Blatter, G., Feigelman, M. V., Geshkenbein, V. B., Larkin, A. I. & Vinokur, V. M. Rev. Mod. Phys. 66, 1125 (1994).

    Article  CAS  ADS  Google Scholar 

  3. Liu, S., Grinberg, I. & Rappe, A. M. Nature 534, 360–363 (2016).

    Article  ADS  Google Scholar 

  4. Giamarchi, T., Kolton, A. B. & Rosso, A. in Jamming, Yielding, and Irreversible Deformation in Condensed Matter (eds Miguel, M. C. & Rubi, M.) 91–108 (Springer, 2006).

    Book  Google Scholar 

  5. Nattermann, T., Shapir, Y. & Vilfan, I. Phys. Rev. B 42, 8577 (1990).

    Article  CAS  ADS  Google Scholar 

  6. Nattermann, T. J. Phys. C 16, 4125 (1983).

    Article  ADS  Google Scholar 

  7. Marzari, N. Nature Mater. 15, 381–382 (2016).

    Article  CAS  ADS  Google Scholar 

  8. Jo, J. Y. et al. Phys. Rev. Lett. 99, 267602 (2007).

    Article  CAS  ADS  Google Scholar 

  9. Paruch, P. & Guyonnet, J. C.R. Phys. 14, 667–684 (2013).

    Article  CAS  ADS  Google Scholar 

  10. Catalan, G., Seidel, J., Ramesh, R. & Scott, J. F. Rev. Mod. Phys. 84, 119 (2012).

    Article  CAS  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Patrycja Paruch or Philippe Ghosez.

Related links

Related links

Related links in Nature Research

Materials science: Clockwork at the atomic scale

Materials science: Two steps for a magnetoelectric switch

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Paruch, P., Ghosez, P. Predictions of pinning. Nature 534, 331–332 (2016). https://doi.org/10.1038/534331a

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/534331a

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing