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Computational materials science

Out of the scalar sand box

Nature Materials volume 7, pages 426427 (2008) | Download Citation

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With the extension of a popular computational method to its tensorial analogue, structural configurations that optimize anisotropic physical quantities can now be predicted.

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References

  1. 1.

    , , & Nature Mater. 5, 641–646 (2006).

  2. 2.

    , & Calphad 29, 163 (2005).

  3. 3.

    & Phys. Rev. B 73, 224104 (2006).

  4. 4.

    & J. Phys. Condens. Matter 20, 064210 (2008).

  5. 5.

    & Phys. Rev. Lett. 81, 606–609 (1998).

  6. 6.

    , & Physica A 128, 334–350 (1984).

  7. 7.

    Solid State Phys. 47, 33–176 (1994).

  8. 8.

    J. Phys. Condens. Matter 15, R1429–R1500 (2003).

  9. 9.

    , , & Nature Mater. 4, 391–394 (2005).

  10. 10.

    in Statics and Dynamics of Alloy Phase Transitions (eds Turchi, P. E. A. & Gonis, A.) 361–419 (NATO ASI Series, Ser. B, Plenum Press, New York, 1994).

  11. 11.

    Nature Mater. 7, 455–458 (2008).

  12. 12.

    & Phys. Rev. B (in the press); preprint at <> (2008).

Download references

Author information

Affiliations

  1. Gus L. W. Hart is in the Department of Physics & Astronomy, Brigham Young University, Provo, Utah 84602, USA.  gus_hart@byu.edu

    • Gus L. W. Hart

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DOI

https://doi.org/10.1038/nmat2190

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