Journal of Materials Informatics
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Editor-in-Chief: Tong-Yi Zhang
Indexing: ESCI, CAS, Dimensions, Lens, CNKI, ASCI,
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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

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

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LLM-driven materials knowledge extraction: multimodal parsing, ontology, and agentic systems

Shuai Yang, ...Ying Lu
Open Access Review DOI: 10.20517/jmi.2026.38 30 Jul 2026
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Machine-learning-enabled composition–process co-design of heat-resistant cast aluminum alloys with superior elevated-temperature strength

Changmei Hao, ...Han Xiao
Open Access Research Article DOI: 10.20517/jmi.2026.20 28 Jul 2026
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PhyMLP: an automated strategy for machine-learning potential construction via data fusion and adaptive point-sampling

Yiqun Guo, ...Wangyu Hu
Open Access Research Article DOI: 10.20517/jmi.2026.18 27 Jul 2026
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Deciphering the strength-ductility trade-off in (CuNiMn)-X alloys via interpretable machine learning

Fei Tan, ...Zhou Li
Open Access Research Article DOI: 10.20517/jmi.2026.14 24 Jun 2026
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Transfer learning-based prediction of high-temperature fatigue life in Fe-based structural alloys with limited data

Qi Wang, ...Xinping Mao
Open Access Research Article DOI: 10.20517/jmi.2026.06 24 Jun 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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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

New Rare Earth Materials and Artificial Intelligence

Prof. Xingjun Liu; Prof. Xingyu Gao; Prof. Xiaoyu Chong

Submission Deadline: 31 Dec 2026

Published articles: 1

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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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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

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

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

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

New Rare Earth Materials and Artificial Intelligence

Prof. Xingjun Liu; Prof. Xingyu Gao; Prof. Xiaoyu Chong

Submission Deadline: 31 Dec 2026

Published articles: 1

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
Journal of Materials Informatics
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