A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

HIGHLIGHTS

  • who: Kyungtae Lee from the DepartmentUniversity of have published the paper: A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys, in the Journal: Scientific Reports Scientific Reports of 23/02/2022
  • what: In Fig 7, the authors show the averaged CP profile plots for the compositions in the FCC cluster.

SUMMARY

    Interpretation of the results provide insights into the phase formation rules of MPEAs. Both BD contributions and SHAP values are expressed as bar graphs, where positive and negative values indicate the contribution of . . .

     

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