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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-01-01
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Series: | Materials & Design |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127520307346 |