• Title of article

    Critical assessment of models for predicting the Ms temperature of steels

  • Author/Authors

    Sourmail، نويسنده , , T. and Garcia-Mateo، نويسنده , , C.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    12
  • From page
    323
  • To page
    334
  • Abstract
    Different approaches to predicting the Ms temperatures of steels are reviewed and discussed with the objective of summarising the main characteristics, advantages and difficulties of each method, mostly from a practical point of view. Empirical methods, and methods based on thermodynamics are then assessed against published data.
  • Keywords
    martensite , Thermodynamics , Bayesian neural networks , Linear regression
  • Journal title
    Computational Materials Science
  • Serial Year
    2005
  • Journal title
    Computational Materials Science
  • Record number

    1680968