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
Home Articles Special Issues Volumes Webinars Videos

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

Articles

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Prediction of temperature-dependent yield strength of refractory high entropy alloy based on stacking integrated framework

Liping Yu, ... Jingli Ren
Open Access Research Article DOI: 10.20517/jmi.2024.39 16 Dec 2024
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An integrated design of novel RAFM steels with targeted microstructures and tensile properties using machine learning and CALPHAD

Xiaochen Li, ... Wenyi Ding
Open Access Research Article DOI: 10.20517/jmi.2024.44 29 Nov 2024
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A survey of energies from pure metals to multi-principal element alloys

Ruitian Chen, ... Yu Zou
Open Access Review DOI: 10.20517/jmi.2024.43 29 Nov 2024
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Knowledge assisted machine learning to clarify pore influence on fatigue life of forging/additive hybrid manufactured Ti-17 alloy

Shuailong Gao, ... Rui Yang
Open Access Research Article DOI: 10.20517/jmi.2024.28 29 Nov 2024
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Simple formula learned via machine learning for creep rupture life prediction of high-temperature titanium alloys

Ping Wang, ... Ruihao Yuan
Open Access Research Article DOI: 10.20517/jmi.2024.33 19 Nov 2024
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Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water

Bin CaoBin 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 ChenWen 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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Topic: Exploring Materials Informatics: Emerging Technologies Inspired by the 2024 Nobel Prize

Prof. Tong-Yi Zhang; Prof. Wenhui Duan; Prof. William Yi Wang; Dr. Sheng Sun

Submission Deadline: 31 Jul 2025

Published articles: 0

Topic: AI-Empowered Materials Science

Prof. Likun Pan; Prof. Jinliang Li; Prof. Dong Yan

Submission Deadline: 31 Jul 2025

Published articles: 0

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Themed Collections
machine learning
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
Volume 4, Issue 4 (In progress)
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
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Recruitment of Junior Editorial Board Members
Welcome to join us!
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!
Associate Editor Interview
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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

Domain knowledge-guided interpretive machine learning: formula discovery for the oxidation behavior of ferritic-martensitic steels in supercritical water
Bin CaoBin Cao, ... Tong-Yi Zhang
Open Access | Research Article | 11 May 2022
Views: | Downloads:
Download PDF
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
High-entropy alloy catalysts: high-throughput and machine learning-driven design
Lixin Chen, ... Yu Zou
Open Access | Review | 21 Nov 2022
Views: | Downloads:
Download PDF

Topic: Exploring Materials Informatics: Emerging Technologies Inspired by the 2024 Nobel Prize

Prof. Tong-Yi Zhang; Prof. Wenhui Duan; Prof. William Yi Wang; Dr. Sheng Sun

Submission Deadline: 31 Jul 2025

Published articles: 0

Topic: AI-Empowered Materials Science

Prof. Likun Pan; Prof. Jinliang Li; Prof. Dong Yan

Submission Deadline: 31 Jul 2025

Published articles: 0

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang
Journal of Materials Informatics
ISSN 2770-372X (Online)
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