Journal of Materials Informatics

Webinar Topic：AI Scientist: Automating Electron and Scanning Probe Microscopes for Physics Discovery and Materials Optimization

Time:
9:00 AM, 6 September 2024 (Beijing)
8:00 PM, 5 September 2024 (GMT-5)

ESCI Indexing

All articles will be indexed and searchable in the Web of Science, and JMI will receive its first impact factor in June 2025!

Associate Editor Interview

Professor Xiaoying Zhuang

Introducing our new preprint platform, a fast and efficient way to share your research with the academic community.

We consistently welcome suggestions for improvements from both readers and authors (send an e-mail to preprint@scierxiv.com).

Associate Editor Interview

Professor Hao Li: Insights into AI for Materials

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

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Articles

Most Recent | Most Viewed | Most Downloaded

Machine learning assisted crystal structure prediction made simple

Chuan-Nan Li

, ... Xie Zhang

Open Access Review DOI: 10.20517/jmi.2024.18 29 Sep 2024

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

Junhao Yuan

, ... Qing Wang

Open Access Review Article DOI: 10.20517/jmi.2024.15 26 Sep 2024

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Data-driven exploration and first-principles analysis of perovskite material

Lei Zhang

, ... Xuexiao Chen

Open Access Research Article DOI: 10.20517/jmi.2024.20 25 Sep 2024

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Borides as promising M₂AX phase materials with high elastic modulus using machine learning and optimization

Ashwin Mhadeshwar, ... Taylor D. Sparks

Open Access Research Article DOI: 10.20517/jmi.2024.17 26 Aug 2024

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A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data

Anwen Hu, ... Jun Liu

Open Access Research Article DOI: 10.20517/jmi.2024.11 18 Aug 2024

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Most Cited Papers In Last Two Years

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

Bin Cao

, ... Tong-Yi Zhang

Open Access Research Article DOI: 10.20517/jmi.2022.04 11 May 2022

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

Shahryar Mooraj, Wen Chen

Open Access Review DOI: 10.20517/jmi.2022.41 16 Mar 2023

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

Lixin Chen, ... Yu Zou

Open Access Review DOI: 10.20517/jmi.2022.23 21 Nov 2022

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Ongoing Special Issues

Topic: Computational Tools and Databases in Materials Informatics

Prof. Zi-Kui Liu; Dr. Gang Tang; Dr. Mingqing Liao

Submission Deadline: 15 Jun 2025

Published articles: 0

Topic: Machine Learning for Development and Management in Rechargeable Batteries

Prof. Tieling Zhang; Dr. Jinpeng Tian

Submission Deadline: 31 May 2025

Published articles: 0

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Topic: Data-driven Modeling and Design of Quantum Functional Materials

Topic: Computational Thermodynamics, Computational Kinetics and Machine Learning in Advanced Materials

Topic: Machine Learning Approach for Design, Development and Application of High Entropy Materials

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Volume 4, Issue 3 (in progress)

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Editor-in-Chief: Yuping Wu

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News

Exciting News: Journal of Materials Informatics (JMI) has been Indexed in ESCI!

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

Webinar Topic：AI Scientist: Automating Electron and Scanning Probe Microscopes for Physics Discovery and Materials Optimization

Time:
9:00 AM, 6 September 2024 (Beijing)
8:00 PM, 5 September 2024 (GMT-5)

ESCI Indexing

All articles will be indexed and searchable in the Web of Science, and JMI will receive its first impact factor in June 2025!

Associate Editor Interview

Professor Xiaoying Zhuang

Introducing our new preprint platform, a fast and efficient way to share your research with the academic community.

We consistently welcome suggestions for improvements from both readers and authors (send an e-mail to preprint@scierxiv.com).

Associate Editor Interview

Professor Hao Li: Insights into AI for Materials

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

Published articles: 0

Topic: Machine Learning for Development and Management in Rechargeable Batteries

Prof. Tieling Zhang; Dr. Jinpeng Tian

Submission Deadline: 31 May 2025

Published articles: 0

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang

News

Exciting News: Journal of Materials Informatics (JMI) has been Indexed in ESCI!

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

Data

384

Authors

331

Reviewers

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

Articles

Machine learning assisted crystal structure prediction made simple

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

Data-driven exploration and first-principles analysis of perovskite material

Borides as promising M₂AX phase materials with high elastic modulus using machine learning and optimization

A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data

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

Topic: Computational Tools and Databases in Materials Informatics

Topic: Machine Learning for Development and Management in Rechargeable Batteries

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

Topic: Computational Tools and Databases in Materials Informatics

Topic: Machine Learning for Development and Management in Rechargeable Batteries

Energy Materials

Intelligence & Robotics

Exciting News: Journal of Materials Informatics (JMI) has been Indexed in ESCI!

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

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

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

Articles

Machine learning assisted crystal structure prediction made simple

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

Data-driven exploration and first-principles analysis of perovskite material

Borides as promising M2AX phase materials with high elastic modulus using machine learning and optimization

A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data

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

Topic: Computational Tools and Databases in Materials Informatics

Topic: Machine Learning for Development and Management in Rechargeable Batteries

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

Topic: Computational Tools and Databases in Materials Informatics

Topic: Machine Learning for Development and Management in Rechargeable Batteries

Energy Materials

Intelligence & Robotics

Exciting News: Journal of Materials Informatics (JMI) has been Indexed in ESCI!

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

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Borides as promising M₂AX phase materials with high elastic modulus using machine learning and optimization