Predicting strain-induced martensite in austenitic steels by combining physical modelling and machine learning

Computational materials design has made significant progress lately. However, one underexploited opportunity lies in the combination of physically based modelling and machine learning (ML). In the present work we exploit this combination for modelling of strain-induced martensitic phase transformati...

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Bibliographic Details
Main Authors: Wangzhong Mu, Moshiour Rahaman, Felix L. Rios, Joakim Odqvist, Peter Hedström
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127520307346