Vickers hardness prediction from machine learning methods

HIGHLIGHTS

  • who: Viviana Dovale-Farelo from the DepartmentVirginia University have published the Article: Vickers hardness prediction from machine learning methods, in the Journal: Scientific Reports Scientific Reports
  • what: The remaining sixteen materials proposed to be hard in this work have not yet been studied for hardness.
  • how: The authors proposed two models to compute hardness using ML a classifier (GBC) and a regressor (GBR).

SUMMARY

    The Hardness Calculator Crystal System and amp; Bandgap (CLA1) Classic Crystal System and amp; Density (CLA2) Predict best calculation relation (H1a, H1b, H2, H3, H4 . . .

     

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