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Editor-in-Chief: Tong-Yi Zhang
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Editor-in-Chief: Tong-Yi Zhang
Median time to first editorial decision: 7 days
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Journal of Materials Informatics

Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

A review on high-throughput development of high-entropy alloys by combinatorial methods

High-entropy alloy catalysts: high-throughput and machine learning-driven design

Process parameter optimization of metal additive manufacturing: a review and outlook

Recent progress in the data-driven discovery of novel photovoltaic materials

Articles

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Physics-informed machine learning framework integrating solid solution strengthening theory for accelerated hardness prediction in high-entropy alloys

Ao Gao, ...Xingjun Liu
Open Access Research Article DOI: 10.20517/jmi.2026.16 8 Sep 2026
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Commentary on ten selected 2025 papers in AI for Materials Science

Yi Liu
Open Access Commentary DOI: 10.20517/jmi.2026.36 27 Aug 2026
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Data-driven design of high-abundance rare earth permanent magnets for low-carbon and resource-efficient production

Yuxuan Wu, ...Lu Wang
Open Access Research Article DOI: 10.20517/jmi.2026.31 27 Aug 2026
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A federated learning–driven data fusion strategy for the hardenability prediction of gear steel

Chunlei Shang, ...Xinping Mao
Open Access Research Article DOI: 10.20517/jmi.2026.26 27 Aug 2026
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Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

Hui Zhan, ...Tongfei Shi
Open Access Correction DOI: 10.20517/jmi.2026.66 12 Aug 2026
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Transformative strategies in photocatalyst design: merging computational methods and deep learning

Jianqiao Liu, ... Ce FuCe Fu
Open Access Review DOI: 10.20517/jmi.2024.48 30 Dec 2024
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Applications of machine learning method in high-performance materials design: a review

Junhao YuanJunhao Yuan, ... Qing WangQing Wang
Open Access Review DOI: 10.20517/jmi.2024.15 26 Sep 2024
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AI in single-atom catalysts: a review of design and applications

Qiumei Yu, ... Zhanhua Wei
Open Access Review DOI: 10.20517/jmi.2024.78 11 Feb 2025
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Topic: AI-Driven Design and Discovery of Energy Materials: Methods, Applications, and Frontiers

Assoc. Prof. Caichao Ye; Prof. Jiong Yang; Prof. Pan Xiong; Prof. WeiShu Liu

Submission Deadline: 31 Mar 2027

Published articles: 0

Topic: AI-Driven Discovery and Design of Biomaterials: From Data to Biomedical Translation

Assoc. Prof. Hao Yan; Prof. Hongwei Ouyang; Assoc. Prof. Grazziela Figueredo; Prof. Morgan Alexander

Submission Deadline: 31 Mar 2027

Published articles: 0

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Data
1129
Authors
1434
Reviewers
60
On Board Editors
2021
Published Since
18
Special Topics
462,878
Article Views
265,396
Article Downloads
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Themed Collections
machine learning
Topic: Exploring Materials Informatics: Emerging Technologies Inspired by the 2024 Nobel Prize
Topic: Machine Learning/AI-Assisted Development of High-Performance Alloys
Topic: Advances in Machine Learning for Photoelectric Materials Research and Applications
Volume 6, Issue 3 (in progress)
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Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
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Volume 5, Issue 1
Volume 4, Issue 4
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Editor-in-Chief: Simon X. Yang
Welcome Prof. Artem R. Oganov to JMI as an Associate Editor!
Joining Hands with JMI to Advance the Future of Materials Informatics
Journal of Materials Informatics Announces 2025 Impact Factor: 8.0 (Q1)!
Journal of Materials Informatics ranked 102/472 in Materials Science, Multidisciplinary
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Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

A review on high-throughput development of high-entropy alloys by combinatorial methods

High-entropy alloy catalysts: high-throughput and machine learning-driven design

Process parameter optimization of metal additive manufacturing: a review and outlook

Recent progress in the data-driven discovery of novel photovoltaic materials

Transformative strategies in photocatalyst design: merging computational methods and deep learning
Jianqiao Liu, ... Ce FuCe Fu
Open Access | Review | 30 Dec 2024
Views: | Downloads:
Download PDF
Applications of machine learning method in high-performance materials design: a review
Junhao YuanJunhao Yuan, ... Qing WangQing Wang
Open Access | Review | 26 Sep 2024
Views: | Downloads:
Download PDF
AI in single-atom catalysts: a review of design and applications
Qiumei Yu, ... Zhanhua Wei
Open Access | Review | 11 Feb 2025
Views: | Downloads:
Download PDF

Topic: AI-Driven Design and Discovery of Energy Materials: Methods, Applications, and Frontiers

Assoc. Prof. Caichao Ye; Prof. Jiong Yang; Prof. Pan Xiong; Prof. WeiShu Liu

Submission Deadline: 31 Mar 2027

Published articles: 0

Topic: AI-Driven Discovery and Design of Biomaterials: From Data to Biomedical Translation

Assoc. Prof. Hao Yan; Prof. Hongwei Ouyang; Assoc. Prof. Grazziela Figueredo; Prof. Morgan Alexander

Submission Deadline: 31 Mar 2027

Published articles: 0

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang

Coming soon.

Volume 6, Issue 3 (in progress)
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 4
Volume 5, Issue 3
Volume 5, Issue 2
Volume 5, Issue 1
Volume 4, Issue 4
Volume 4, Issue 3
Volume 4, Issue 2
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 2
Volume 1, Issue 1
Articles Collection
Data
1129
Authors
1434
Reviewers
60
On Board Editors
2021
Published Since
18
Special Topics
462,878
Article Views
265,396
Article Downloads
Journal of Materials Informatics
ISSN 2770-372X (Online)
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