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http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3191| Title: | Critical assessment of models for predicting the Ms temperature of steels |
| Keywords: | Martensite; Thermodynamics; Bayesian neural networks; Linear regression |
| Publisher: | Elsevier |
| Description: | 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. NPL for provision of MTDATA and Neuromat for provision of the Model Manager Peer reviewed |
| URI: | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3191 |
| Other Identifiers: | Computational Materials Science 34 (2005) 323-334 http://hdl.handle.net/10261/3191 10.1016/j.commatsci.2005.01.002 |
| Appears in Collections: | Digital Csic |
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