Journal of Materials Informatics

OAE and Shanghai University Establish Strategic Partnership to Advance JMI

The two parties join forces to enhance the journal’s academic quality and global impact, strengthen high-level academic exchange, and advance the field of materials informatics.

2025 World's Top 2% Scientists List Released: JMI Editorial Board Shines

JMI: 80% of Editorial Board Members on the List

New Special Issue Online! AI-Driven Materials Laboratories: Toward Autonomous Discovery and Design

Guest edited by Prof. Xiaoying Zhuang, Department of Mathematics and Physics, Leibniz Universität Hannover, Hanover, Germany.

First Impact Factor Announcement

Materials Science, Multidisciplinary JCR: Q2

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

Academic Talks

Interview with JMI’s new Associate Editor--Professor Xiaoying Zhuang

NaN

Pre-onlines

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

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

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

Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts

Articles

Most Recent | Most Viewed | Most Downloaded

Machine learning-driven new paradigm for Co-based superalloys

Jiahao Luo, ...Qiuzhi Gao

Open Access Review DOI: 10.20517/jmi.2025.52 14 Jan 2026

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Uncertainty estimation affects predictor selection and its calibration improves materials optimization

Yuan Jiang, ...Ruihao Yuan

Open Access Research Article DOI: 10.20517/jmi.2025.70 13 Jan 2026

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Multiscale simulations of Ge–Sb–Se–Te phase-change alloys for photonic memory applications

Huiyu Li, ...Wei Zhang

Open Access Research Article DOI: 10.20517/jmi.2025.47 12 Jan 2026

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Advances in graph neural networks for alloy design and properties predictions: a review

Zhede Zhao

, ...Zhongming Ren

Open Access Review DOI: 10.20517/jmi.2025.42 12 Jan 2026

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The synergy of geometric tolerance factor and machine learning in discovering stable materials

Zhilong Wang

, ...Fengqi You

Open Access Perspective DOI: 10.20517/jmi.2025.41 11 Jan 2026

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Most Cited Papers In Last Two Years

Transformative strategies in photocatalyst design: merging computational methods and deep learning

Jianqiao Liu, ... Ce 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 Yuan

, ... Qing 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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Ongoing Special Topics

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 Materials Laboratories: Toward Autonomous Discovery and Design

Xiaoying Zhuang

Submission Deadline: 31 Mar 2026

Published articles: 0

Editorial Board

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903

Authors

1694

Reviewers

153

Articles

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2021

Published Since

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Themed Collections

machine learning

Topics Collection

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)

Articles Collection

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News

OAE Publishing Inc. and Shanghai University Establish Strategic Partnership to Advance Journal of Materials Informatics

Congratulations — 80% of the Editorial Board Members of Journal of Materials Informatics Listed Among the 2025 World's Top 2% Scientists

OAE and Shanghai University Establish Strategic Partnership to Advance JMI

The two parties join forces to enhance the journal’s academic quality and global impact, strengthen high-level academic exchange, and advance the field of materials informatics.

2025 World's Top 2% Scientists List Released: JMI Editorial Board Shines

JMI: 80% of Editorial Board Members on the List

New Special Issue Online! AI-Driven Materials Laboratories: Toward Autonomous Discovery and Design

Guest edited by Prof. Xiaoying Zhuang, Department of Mathematics and Physics, Leibniz Universität Hannover, Hanover, Germany.

First Impact Factor Announcement

Materials Science, Multidisciplinary JCR: Q2

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

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

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

Published articles: 0

AI-Driven Materials Laboratories: Toward Autonomous Discovery and Design

Xiaoying Zhuang

Submission Deadline: 31 Mar 2026

Published articles: 0

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang

Editorial Board

Coming soon.

News

OAE Publishing Inc. and Shanghai University Establish Strategic Partnership to Advance Journal of Materials Informatics

Congratulations — 80% of the Editorial Board Members of Journal of Materials Informatics Listed Among the 2025 World's Top 2% Scientists

Articles Collection

Data

903

Authors

1694

Reviewers

153

Articles

On Board Editors

2021

Published Since

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

Interview with JMI’s new Associate Editor--Professor Xiaoying Zhuang

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

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

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

Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts

Articles

Machine learning-driven new paradigm for Co-based superalloys

Uncertainty estimation affects predictor selection and its calibration improves materials optimization

Multiscale simulations of Ge–Sb–Se–Te phase-change alloys for photonic memory applications

Advances in graph neural networks for alloy design and properties predictions: a review

The synergy of geometric tolerance factor and machine learning in discovering stable materials

Transformative strategies in photocatalyst design: merging computational methods and deep learning

Applications of machine learning method in high-performance materials design: a review

AI in single-atom catalysts: a review of design and applications

New Rare Earth Materials and Artificial Intelligence

AI-Driven Materials Laboratories: Toward Autonomous Discovery and Design

Energy Materials

Intelligence & Robotics

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

Interview with JMI’s new Associate Editor--Professor Xiaoying Zhuang

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

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

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

Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts

New Rare Earth Materials and Artificial Intelligence

AI-Driven Materials Laboratories: Toward Autonomous Discovery and Design

Energy Materials

Intelligence & Robotics

OAE Publishing Inc. and Shanghai University Establish Strategic Partnership to Advance Journal of Materials Informatics

Congratulations — 80% of the Editorial Board Members of Journal of Materials Informatics Listed Among the 2025 World's Top 2% Scientists

Committee on Publication Ethics

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Committee on Publication Ethics

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