- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1543-1940
- Extent
-
Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Machine Learning to Predict the Martensite Start Temperature in Steels ; day:14 ; month:3 ; year:2019 ; pages:1-11
Metallurgical and materials transactions / A. A, Physical metallurgy and materials science ; (14.3.2019), 1-11
- Classification
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Ingenieurwissenschaften und Maschinenbau
- Creator
-
Rahaman, Moshiour
Mu, Wangzhong
Odqvist, Joakim
Hedström, Peter
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s11661-019-05170-8
- URN
-
urn:nbn:de:101:1-2019040722393781566160
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:47 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rahaman, Moshiour
- Mu, Wangzhong
- Odqvist, Joakim
- Hedström, Peter
- SpringerLink (Online service)
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Phase-field simulation of lath martensite in low-carbon steel
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Prediction of the Martensite Start Temperature in High‐Carbon Steels
Prediction of Martensite Start Temperature for Lightweight Fe-Mn-Al-C Steels
Determination of Martensite Start Temperature of High‐Speed Steels Based on Thermodynamic Calculations
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On the Temperature-Dependence of Deformation-Induced Martensite Formation in AISI 304L Type Steel
Phase field simulation of martensite transformation in steels
Phase Field Simulation of Martensite Transformation in Steels
Deformation‐Induced Martensite: A New Paradigm for Exceptional Steels
Lath martensite substructure evolution in low-carbon microalloyed steels
Phase-field simulation of lath martensite in low-carbon steel
Austenite Formation from Martensite in a 13Cr6Ni2Mo Supermartensitic Stainless Steel