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Modelling and Design of Magnesium and High Entropy Alloys Through Combining Statistical and Physical Models

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Abstract

Physical and statistical models are combined to describe and design magnesium and high entropy alloys. A principal component analysis is applied to merge material datasets, and it is shown that limits in properties can be envisaged. Extrapolation techniques can be employed to devise properties of non-existing alloys, such as specific heat capacity, melting point and Young’s modulus. These in turn can be input to physical models to predict, for example, yield strength and modulus of toughness. The tools described herein can readily be used for materials discovery, and are being implemented in the Accelerated Metallurgy project.

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Acknowledgements

The authors wish to acknowledge financial support from the Accelerated Metallurgy Project, which is co-funded by the European Commission in the 7th Framework Programme (Contract NMP4-LA-2011-263206), by the European Space Agency and by the individual partner organisations.

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Authors and Affiliations

  1. Department of Materials Science and Metallurgy, University of Cambridge, 27 Charles Babbage Rd, Cambridge, CB3 0FS, UK

    Isaac Toda-Caraballo & Pedro E. J. Rivera-Díaz-del-Castillo

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  1. Isaac Toda-Caraballo
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  2. Pedro E. J. Rivera-Díaz-del-Castillo
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Correspondence to Pedro E. J. Rivera-Díaz-del-Castillo.

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Toda-Caraballo, I., Rivera-Díaz-del-Castillo, P.E.J. Modelling and Design of Magnesium and High Entropy Alloys Through Combining Statistical and Physical Models. JOM 67, 108–117 (2015). https://doi.org/10.1007/s11837-014-1242-2

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  • DOI: https://doi.org/10.1007/s11837-014-1242-2

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