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

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

Articles

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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 24 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 23 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 23 Jun 2025
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Farthest point sampling in property designated chemical feature space as an effective strategy for enhancing the machine learning model performance for small scale chemical dataset

Yuze Liu, ...Xi Yu,
Open Access Research Article DOI: 10.20517/jmi.2025.10 18 Jun 2025
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Effects of nonlinearity and inter-feature coupling in machine learning studies of Nb alloys with center-environment features

Yuchao Tang, ...Yi Liu,
Open Access Research Article DOI: 10.20517/jmi.2025.05 17 Jun 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 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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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 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
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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

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

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 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

Coming soon.

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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