Robust data-driven approach for predicting the configurational energy of high entropy alloys

doi:10.1016/j.matdes.2019.108247

Title: Robust data-driven approach for predicting the configurational energy of high entropy alloys

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Authors:: Zhang, Jiaxin; Liu, Xianglin; Bi, Sirui; Yin, Junqi; Zhang, Guannan; Eisenbach, Markus

Publication Date:: 2020-01-01

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

OSTI Identifier:: 1570041

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Published Article

Journal Name:: Materials & Design

Additional Journal Information:: Journal Name: Materials & Design Journal Volume: 185 Journal Issue: C; Journal ID: ISSN 0264-1275

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Zhang, Jiaxin, Liu, Xianglin, Bi, Sirui, Yin, Junqi, Zhang, Guannan, and Eisenbach, Markus. Robust data-driven approach for predicting the configurational energy of high entropy alloys.  United Kingdom: N. p., 2020. 
        Web.  doi:10.1016/j.matdes.2019.108247.

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                    Zhang, Jiaxin, Liu, Xianglin, Bi, Sirui, Yin, Junqi, Zhang, Guannan, & Eisenbach, Markus. Robust data-driven approach for predicting the configurational energy of high entropy alloys.  United Kingdom.  doi:10.1016/j.matdes.2019.108247.

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                    Zhang, Jiaxin, Liu, Xianglin, Bi, Sirui, Yin, Junqi, Zhang, Guannan, and Eisenbach, Markus. Wed .  
        "Robust data-driven approach for predicting the configurational energy of high entropy alloys".  United Kingdom.  doi:10.1016/j.matdes.2019.108247.

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@article{osti_1570041,

  title        = {Robust data-driven approach for predicting the configurational energy of high entropy alloys},

  author       = {Zhang, Jiaxin and Liu, Xianglin and Bi, Sirui and Yin, Junqi and Zhang, Guannan and Eisenbach, Markus},

  abstractNote = {},

  doi          = {10.1016/j.matdes.2019.108247},

  journal      = {Materials & Design},

  number       = C,

  volume       = 185,

  place        = {United Kingdom},

  year         = {2020},

  month        = {1}

}

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