Journal of Materials Informatics
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Editor-in-Chief: Tong-Yi Zhang
Indexing: ESCI, CAS, Dimensions, Lens, CNKI,
Submission to first decision: 44 days
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Editor-in-Chief: Tong-Yi Zhang
Submission to first decision: 44 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

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

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

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

Shahryar Mooraj, Wen ChenWen 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@NxC20-x (x = 0~4): a DFT exploration

Bing Han, Fengyu LiFengyu 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 QianQuan Qian
Open Access Review DOI: 10.20517/jmi.2023.10 12 Jun 2023
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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

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Prof. Hao Li

Submission Deadline: 31 Oct 2025

Published articles: 1

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Themed Collections
machine learning
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
Volume 5, Issue 3 (in progress)
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Volume 3, Issue 3
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Volume 3, Issue 1
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Editor-in-Chief: Yuping Wu

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Editor-in-Chief: Simon X. Yang
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

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

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

A review on high-throughput development of high-entropy alloys by combinatorial methods
Shahryar Mooraj, Wen ChenWen Chen
Open Access | Review | 16 Mar 2023
Views: | Downloads:
Download PDF
Regulating the electrocatalytic performance for nitrogen reduction reaction by tuning the N contents in Fe3@NxC20-x (x = 0~4): a DFT exploration
Bing Han, Fengyu LiFengyu Li
Open Access | Research Article | 2 Nov 2023
Views: | Downloads:
Download PDF
Graph neural networks for molecular and materials representation
Xing Wu, ... Quan QianQuan Qian
Open Access | Review | 12 Jun 2023
Views: | Downloads:
Download PDF

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

Machine Learning-enabled Exploration of Electrocatalysts for Energy Conversion Technology

Prof. Hao Li

Submission Deadline: 31 Oct 2025

Published articles: 1

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang
Volume 5, Issue 3 (in progress)
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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