Alloys innovation through machine learning: a statistical literature review-Reference-Cited by-同舟云学术

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Alloys innovation through machine learning: a statistical literature review

Published:2024-04-11 Issue:1 Volume:4 Page:
ISSN:2766-0400
Container-title:Science and Technology of Advanced Materials: Methods
language:en
Short-container-title:Science and Technology of Advanced Materials: Methods

Author:

Valizadeh Alireza¹^ORCID,Sahara Ryoji²^ORCID,Souissi Maaouia³⁴^ORCID

Affiliation:

1. NEX Power Ltd, Milton Keynes, UK

2. Research Center for Structural Materials, National Institute for Materials Science, Ibaraki, Japan

3. BCAST, Brunel University London, Uxbridge, UK

4. McCombs School of Business, The University of Texas at Austin, Austin, TX, USA

Publisher

Informa UK Limited

Link

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

Reference222 articles.

1. Data-centric science for materials innovation

2. Recent advances and applications of machine learning in solid-state materials science

3. Computational Design of Hierarchically Structured Materials

4. An introduction to machine learning and analysis of its use in rheumatic diseases

5. Pfeiler W. Alloy physics: a comprehensive reference. Wiley; 2007.

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