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Title

Critical assessment of models for predicting the Ms temperature of steels

AuthorsSourmail, Thomas; García Mateo, Carlos CSIC ORCID CVN
KeywordsMartensite; Thermodynamics; Bayesian neural networks; Linear regression
Issue Date2005
PublisherElsevier
CitationComputational Materials Science 34 (2005) 323-334
AbstractDifferent 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.
Publisher version (URL)http://dx.doi.org/10.1016/j.commatsci.2005.01.002
URIhttp://hdl.handle.net/10261/3191
DOI10.1016/j.commatsci.2005.01.002
Appears in Collections:(CENIM) Artículos




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