Journal of Materials Informatics

First Impact Factor Announcement

Materials Science, Multidisciplinary JCR: Q2

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

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

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Machine learning-driven design and optimization of electronic packaging: applications and future developments

Articles

Most Recent | Most Viewed | Most Downloaded

Application of self-supervised learning in steel surface defect detection

Shiyu Hu, ...Wei Xu,

Open Access Research Article DOI: 10.20517/jmi.2025.21 22 Jul 2025

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A critical review of machine learning interatomic potentials and Hamiltonian

Yifan Li, ...Lei Shen

Open Access Review DOI: 10.20517/jmi.2025.17 17 Jul 2025

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Accelerating phase-field simulation of coupled microstructural evolution using autoencoder-based recurrent neural networks

Aidan Gesch

, ...Chongze Hu

Open Access Research Article DOI: 10.20517/jmi.2025.23 25 Jun 2025

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

Yuelin Wang, ...Xi Lin,

Open Access Review DOI: 10.20517/jmi.2025.18 24 Jun 2025

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DSMR: an AI framework for exploring combinations of data and algorithm to overcome efficiency-accuracy trade-off

Jianhua Chen, ...Kuochih Chou,

Open Access Research Article DOI: 10.20517/jmi.2025.20 24 Jun 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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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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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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Ongoing Special Issues

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Prof. Hao Li

Submission Deadline: 31 Oct 2025

Published articles: 1

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

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136

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Themed Collections

machine learning

Topics Collection

Topic: Design of Polymer and Its Composites Driven by Data and Domain Knowledge

Topic: Application of Machine Learning to Crystal Structure Prediction

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

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Volume 5, Issue 4 (in progress)

Articles Collection

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Editor-in-Chief: Yuping Wu

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Editor-in-Chief: Simon X. Yang

News

Journal of Materials Informatics Receives Its First Impact Factor: 5.6, Q2

2024 Annual Awards of the Journal of Materials Informatics

First Impact Factor Announcement

Materials Science, Multidisciplinary JCR: Q2

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

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

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Machine learning-driven design and optimization of electronic packaging: applications and future developments

Ongoing Special Issues

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Prof. Hao Li

Submission Deadline: 31 Oct 2025

Published articles: 1

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

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang

Editorial Board

Coming soon.

News

Journal of Materials Informatics Receives Its First Impact Factor: 5.6, Q2

2024 Annual Awards of the Journal of Materials Informatics

Latest Issue

All Issues

Volume 5, Issue 4 (in progress)

Articles Collection

Data

769

Authors

1514

Reviewers

136

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

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Machine learning-driven design and optimization of electronic packaging: applications and future developments

Articles

Application of self-supervised learning in steel surface defect detection

A critical review of machine learning interatomic potentials and Hamiltonian

Accelerating phase-field simulation of coupled microstructural evolution using autoencoder-based recurrent neural networks

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

DSMR: an AI framework for exploring combinations of data and algorithm to overcome efficiency-accuracy trade-off

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

Graph neural networks for molecular and materials representation

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

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

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

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Machine learning-driven design and optimization of electronic packaging: applications and future developments

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Energy Materials

Intelligence & Robotics

Journal of Materials Informatics Receives Its First Impact Factor: 5.6, Q2

2024 Annual Awards of the Journal of Materials Informatics

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

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Machine learning-driven design and optimization of electronic packaging: applications and future developments

Articles

Application of self-supervised learning in steel surface defect detection

A critical review of machine learning interatomic potentials and Hamiltonian

Accelerating phase-field simulation of coupled microstructural evolution using autoencoder-based recurrent neural networks

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

DSMR: an AI framework for exploring combinations of data and algorithm to overcome efficiency-accuracy trade-off

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

Graph neural networks for molecular and materials representation

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

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

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

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Machine learning-driven design and optimization of electronic packaging: applications and future developments

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Machine Learning-enabled Discovery and Optimization of Hydrogen Storage Materials

Energy Materials

Intelligence & Robotics

Journal of Materials Informatics Receives Its First Impact Factor: 5.6, Q2

2024 Annual Awards of the Journal of Materials Informatics

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