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

A data-driven comparative study of thermomechanical properties in rare-earth zirconate and tantalate oxides for thermal barrier coatings

Advancing carbon dots research with machine learning: a comprehensive review

Enhanced multi-tuple extraction for materials: integrating pointer networks and augmented attention

Quantification and rating of casting blowhole defects using instance segmentation algorithm

Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

Articles

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Accelerating materials discovery via AI-Agent integration of large language models and simulation tools

Xian Wang, ...Mingli Yang
Open Access Research Article DOI: 10.20517/jmi.2025.69 28 Jan 2026
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Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts

Lei Wang, ...Yilun Liu
Open Access Research Article DOI: 10.20517/jmi.2025.67 27 Jan 2026
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Multi-objective optimization of fiber laser welding parameters for 316L stainless steel

Shuai Li, ...Yang Xie
Open Access Research Article DOI: 10.20517/jmi.2025.63 27 Jan 2026
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Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Chenggang Wu, ...Fengjiang Wang
Open Access Research Article DOI: 10.20517/jmi.2025.59 23 Jan 2026
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Machine learning-driven new paradigm for Co-based superalloys

Jiahao Luo, ...Qiuzhi Gao
Open Access Review DOI: 10.20517/jmi.2025.52 15 Jan 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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New Rare Earth Materials and Artificial Intelligence

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

Submission Deadline: 31 Dec 2026

Published articles: 0

AI-Driven Design and Intelligent Manufacturing of Advanced Copper Alloy

Prof. Yanbin Jiang; Prof. Huadong Fu; Prof. Zhu Xiao

Submission Deadline: 31 Dec 2026

Published articles: 0

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Themed Collections
machine learning
Topic: Advances in Machine Learning for Photoelectric Materials Research and Applications
Topic: AI/ML for Materials Discovery and Computing
Topic: “Unlocking the AI Future of Materials Science”: Selected Papers from the International Workshop on Data-driven Computational and Theoretical Materials Design (DCTMD)
Volume 5, Issue 4
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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

A data-driven comparative study of thermomechanical properties in rare-earth zirconate and tantalate oxides for thermal barrier coatings

Advancing carbon dots research with machine learning: a comprehensive review

Enhanced multi-tuple extraction for materials: integrating pointer networks and augmented attention

Quantification and rating of casting blowhole defects using instance segmentation algorithm

Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

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

New Rare Earth Materials and Artificial Intelligence

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

Submission Deadline: 31 Dec 2026

Published articles: 0

AI-Driven Design and Intelligent Manufacturing of Advanced Copper Alloy

Prof. Yanbin Jiang; Prof. Huadong Fu; Prof. Zhu Xiao

Submission Deadline: 31 Dec 2026

Published articles: 0

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang

Coming soon.

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
ISSN 2770-372X (Online)
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