MEMSDUKEPRATT School of engineering


publications by Stefano Curtarolo.


Papers Published

  1. Ceder, G. and Morgan, D. and Fischer, C. and Tibbetts, K. and Curtarolo, S., Data-mining-driven quantum mechanics for the prediction of structure, MRS Bulletin, vol. 31 no. 12 (2006), pp. 981 - 985 .
    (last updated on 2007/04/06)

    Abstract:
    The prediction of crystal structure is a key outstanding problem in materials science and one that is fundamental to computational materials design. We argue that by combining the predictive accuracy of quantum mechanics with data mining tools to extract knowledge from a large body of historical experimental or computational results, this problem can be successfully addressed.

    Keywords:
    Computer simulation;Crystal structure;Data mining;Knowledge acquisition;Materials science;Problem solving;

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