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Data mining approach to ab-initio prediction of crystal structure

Publication ,  Journal Article
Morgan, D; Ceder, G; Curtarolo, S
Published in: Materials Research Society Symposium - Proceedings
January 1, 2003

Predicting crystal structure is one of the most fundamental problems in materials science and a key early step in computational materials design. Ab initio simulation methods are a powerful tool for predicting crystal structure, but are too slow to explore the extremely large space of possible structures for new alloys. Here we describe ongoing work on a novel method (Data Mining of Quantum Calculations, or DMQC) that applies data mining techniques to existing ab initio data in order to increase the efficiency of crystal structure prediction for new alloys. We find about a factor of three speedup in ab intio prediction of crystal structures using DMQC as compared to naïve random guessing. This study represents an extension of work done by Curtarolo, et al. [1] to a larger library of data.

Duke Scholars

Published In

Materials Research Society Symposium - Proceedings

DOI

ISSN

0272-9172

Publication Date

January 1, 2003

Volume

804

Start / End Page

343 / 348
 

Citation

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Morgan, D., Ceder, G., & Curtarolo, S. (2003). Data mining approach to ab-initio prediction of crystal structure. Materials Research Society Symposium - Proceedings, 804, 343–348. https://doi.org/10.1557/proc-804-jj9.25
Morgan, D., G. Ceder, and S. Curtarolo. “Data mining approach to ab-initio prediction of crystal structure.” Materials Research Society Symposium - Proceedings 804 (January 1, 2003): 343–48. https://doi.org/10.1557/proc-804-jj9.25.
Morgan D, Ceder G, Curtarolo S. Data mining approach to ab-initio prediction of crystal structure. Materials Research Society Symposium - Proceedings. 2003 Jan 1;804:343–8.
Morgan, D., et al. “Data mining approach to ab-initio prediction of crystal structure.” Materials Research Society Symposium - Proceedings, vol. 804, Jan. 2003, pp. 343–48. Scopus, doi:10.1557/proc-804-jj9.25.
Morgan D, Ceder G, Curtarolo S. Data mining approach to ab-initio prediction of crystal structure. Materials Research Society Symposium - Proceedings. 2003 Jan 1;804:343–348.

Published In

Materials Research Society Symposium - Proceedings

DOI

ISSN

0272-9172

Publication Date

January 1, 2003

Volume

804

Start / End Page

343 / 348