Journal of Materials Informatics

2024 Annual Awards of the Journal of Materials Informatics

Congratulations to all Awarded Scholars and Gratitude for their Support for the Journal in 2024

2024 Annual Report of Journal of Materials Informatics (JMI)

Let's take a look back at the progress of JMI in 2024

Congratulations to the eight Editorial Board members of JMI recognized as Clarivate's “Highly Cited Researchers” for 2024

Recognizing Research Excellence and Academic Impact in Materials Informatics Research

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!

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

Machine learning for predictive design and optimiza-tion of high-performance thermoelectric materials: a review

Articles

Most Recent | Most Viewed | Most Downloaded

Exploring generic fractions of multi-origin asphalts and revisiting the linkage to their bulk properties via machine learning

Jin Li, ...Mingjun Hu,

Open Access Research Article DOI: 10.20517/jmi.2025.14 28 May 2025

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Machine learning-enabled optoelectronic material discovery: a comprehensive review

Yu Shu, ...Zhimei Sun,

Open Access Review DOI: 10.20517/jmi.2025.13 28 May 2025

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Active learning-based generative design of halogen-free flame-retardant polymeric composites

Weibin Ma, ...Peng Ding,

Open Access Research Article DOI: 10.20517/jmi.2025.09 20 May 2025

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Neuroevolution potential for thermal transport in silicon carbide

Haoming Zhang, ...Tianqi Deng,

Open Access Research Article DOI: 10.20517/jmi.2025.06 18 May 2025

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Hot deformation behavior investigation of heat-resistant aluminum matrix composite based on Arrhenius model and machine learning

Liangxian Zhang, ...Jinling Liu,

Open Access Research Article DOI: 10.20517/jmi.2025.08 26 Apr 2025

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Most Cited Papers In Last Two Years

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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Regulating the electrocatalytic performance for nitrogen reduction reaction by tuning the N contents in Fe₃@N_xC_20-x (x = 0~4): a DFT exploration

Bing Han, Fengyu Li

Open Access Research Article DOI: 10.20517/jmi.2023.32 2 Nov 2023

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Graph neural networks for molecular and materials representation

Xing Wu, ... Quan Qian

Open Access Review DOI: 10.20517/jmi.2023.10 12 Jun 2023

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Ongoing Special Issues

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Assoc. Prof. Weijie Yang; Dr. Claudio Pistidda; Dr. Katarina Batalović; Dr. Qun Luo

Submission Deadline: 31 Oct 2025

Published articles: 0

Exploring 2D Materials Informatics: Materials, Devices, Circuits, and Beyond

Prof. Yaqiong Su; Assoc. Prof. Lin Wang; Assoc. Prof. Wugang Liao

Submission Deadline: 30 Sep 2025

Published articles: 0

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129

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2021

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Themed Collections

machine learning

Topics Collection

Topic: Application of Machine Learning to Crystal Structure Prediction

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

Topic: Theory-Assisted Developing Electrocatalysis

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Volume 5, Issue 2 (in progress)

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Editor-in-Chief: Yuping Wu

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News

2024 Annual Awards of the Journal of Materials Informatics

2024 Annual Report of Journal of Materials Informatics (JMI)

2024 Annual Awards of the Journal of Materials Informatics

Congratulations to all Awarded Scholars and Gratitude for their Support for the Journal in 2024

2024 Annual Report of Journal of Materials Informatics (JMI)

Let's take a look back at the progress of JMI in 2024

Congratulations to the eight Editorial Board members of JMI recognized as Clarivate's “Highly Cited Researchers” for 2024

Recognizing Research Excellence and Academic Impact in Materials Informatics Research

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!

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

Machine learning for predictive design and optimiza-tion of high-performance thermoelectric materials: a review

Ongoing Special Issues

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Assoc. Prof. Weijie Yang; Dr. Claudio Pistidda; Dr. Katarina Batalović; Dr. Qun Luo

Submission Deadline: 31 Oct 2025

Published articles: 0

Exploring 2D Materials Informatics: Materials, Devices, Circuits, and Beyond

Prof. Yaqiong Su; Assoc. Prof. Lin Wang; Assoc. Prof. Wugang Liao

Submission Deadline: 30 Sep 2025

Published articles: 0

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang

News

2024 Annual Awards of the Journal of Materials Informatics

2024 Annual Report of Journal of Materials Informatics (JMI)

Data

1124

Authors

1438

Reviewers

129

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

Machine learning for predictive design and optimiza-tion of high-performance thermoelectric materials: a review

Articles

Exploring generic fractions of multi-origin asphalts and revisiting the linkage to their bulk properties via machine learning

Machine learning-enabled optoelectronic material discovery: a comprehensive review

Active learning-based generative design of halogen-free flame-retardant polymeric composites

Neuroevolution potential for thermal transport in silicon carbide

Hot deformation behavior investigation of heat-resistant aluminum matrix composite based on Arrhenius model and machine learning

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

Regulating the electrocatalytic performance for nitrogen reduction reaction by tuning the N contents in Fe₃@N_xC_20-x (x = 0~4): a DFT exploration

Graph neural networks for molecular and materials representation

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Exploring 2D Materials Informatics: Materials, Devices, Circuits, and Beyond

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

Machine learning for predictive design and optimiza-tion of high-performance thermoelectric materials: a review

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Exploring 2D Materials Informatics: Materials, Devices, Circuits, and Beyond

Energy Materials

Intelligence & Robotics

2024 Annual Awards of the Journal of Materials Informatics

2024 Annual Report of Journal of Materials Informatics (JMI)

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

Machine learning for predictive design and optimiza-tion of high-performance thermoelectric materials: a review

Articles

Exploring generic fractions of multi-origin asphalts and revisiting the linkage to their bulk properties via machine learning

Machine learning-enabled optoelectronic material discovery: a comprehensive review

Active learning-based generative design of halogen-free flame-retardant polymeric composites

Neuroevolution potential for thermal transport in silicon carbide

Hot deformation behavior investigation of heat-resistant aluminum matrix composite based on Arrhenius model and machine learning

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

Regulating the electrocatalytic performance for nitrogen reduction reaction by tuning the N contents in Fe3@NxC20-x (x = 0~4): a DFT exploration

Graph neural networks for molecular and materials representation

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Exploring 2D Materials Informatics: Materials, Devices, Circuits, and Beyond

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

Machine learning for predictive design and optimiza-tion of high-performance thermoelectric materials: a review

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Exploring 2D Materials Informatics: Materials, Devices, Circuits, and Beyond

Energy Materials

Intelligence & Robotics

2024 Annual Awards of the Journal of Materials Informatics

2024 Annual Report of Journal of Materials Informatics (JMI)

Committee on Publication Ethics

Portico

Committee on Publication Ethics

Portico

Regulating the electrocatalytic performance for nitrogen reduction reaction by tuning the N contents in Fe₃@N_xC_20-x (x = 0~4): a DFT exploration