Alloys innovation through machine learning: a statistical literature review

Alloys innovation through machine learning: a statistical literature review

ABSTRACTThis review systematically analyzes over 200 publications to explore the growing role of data-driven methods and their potential benefits in accelerating alloy development. The review presents a comprehensive overview of different aspects of alloy innovation by machine learning and other com...

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Bibliographic Details
Main Authors: Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
Alloy development
machine learning
data-driven research
materials informatics
materials genome initiative
materials databases
Online Access:https://www.tandfonline.com/doi/10.1080/27660400.2024.2326305

Internet

https://www.tandfonline.com/doi/10.1080/27660400.2024.2326305

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