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Indexing: ESCI, CAS, Scopus, Embase, etc.,
Journal Rank: CiteScore 3.2 - Q3 (Oncology)
Submission to first decision: 55 days
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Journal of Cancer Metastasis and Treatment

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

Effect of material properties on the thermal responses of the carbonization and pyrolysis layers of polymer matrix composites for charring-ablators

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Symbolic regression accelerates the discovery of quantitative relationships in rubber material aging

Abstract:
Polymer materials, especially rubber, play an indispensable role in modern life and manufacturing. However, their aging and deterioration pose serious... MORE
Wentao LiWentao Li, ... Xiaonan Wang
Open Access Research Article DOI: 10.20517/jmi.2024.103 27 Mar 2025
Views: 253 Downloads: 88
Download PDF 0 2

Uncertainty aware design space modeling for sample efficiency in material design of bainitic steels

Abstract:
Optimizing sampling efficiency is crucial for solving complex material design challenges, especially with a limited experimental budget. This study focuses on... MORE
Bernd SchuschaBernd Schuscha, ... Daniel ScheiberDaniel Scheiber
Open Access Research Article DOI: 10.20517/jmi.2024.90 27 Mar 2025
Views: 145 Downloads: 50
Download PDF 0 3

FT2DP: large atomic model fine-tuned machine learning potential for accelerating atomistic simulation of iron-based Fischer-Tropsch synthesis

Abstract:
Density-functional theory (DFT)-based atomistic simulation methods have been essential in studying the structure-property relationships in heterogeneous... MORE
Zhao-Qing LiuZhao-Qing Liu, ... Hong JiangHong Jiang
Open Access Research Article DOI: 10.20517/jmi.2024.105 25 Mar 2025
Views: 387 Downloads: 100
Download PDF 0 1

Multi-objective optimization in machine learning assisted materials design and discovery

Abstract:
Over the past decades, machine learning has kept playing an important role in materials design and discovery. In practical applications, materials usually need... MORE
Pengcheng Xu, ... Zhilong Dai
Open Access Review DOI: 10.20517/jmi.2024.108 23 Mar 2025
Views: 185 Downloads: 29
Download PDF 0 1

How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?

Abstract:
The development of efficient and stable hydrogen production technologies is crucial for global clean energy transition. Solid oxide electrolysis cells (SOECs)... MORE
Baoyin Yuan, ... Siyu Ye
Open Access Perspective DOI: 10.20517/jmi.2024.106 21 Mar 2025
Views: 180 Downloads: 85
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A review on high-throughput development of high-entropy alloys by combinatorial methods

Abstract:
High-entropy alloys (HEAs) are an emerging class of alloys with multi-principal elements that greatly expands the compositional space for advanced alloy... MORE
Shahryar Mooraj, Wen ChenWen Chen
Open Access Review DOI: 10.20517/jmi.2022.41 16 Mar 2023
Views: 4615 Downloads: 1957
Download PDF 0 29

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

Abstract:
The Haber-Bosch (H-B) process, which is widely used in industry to synthesize ammonia, leads to serious energy and environment-related issues. The... MORE
Bing Han, Fengyu LiFengyu Li
Open Access Research Article DOI: 10.20517/jmi.2023.32 2 Nov 2023
Views: 871 Downloads: 577
Download PDF 0 8

Graph neural networks for molecular and materials representation

Abstract:
Material molecular representation (MMR) plays an important role in material property or chemical reaction prediction. However, traditional expert-designed MMR... MORE
Xing Wu, ... Quan QianQuan Qian
Open Access Review DOI: 10.20517/jmi.2023.10 12 Jun 2023
Views: 3491 Downloads: 1179
Download PDF 0 1

Topic: Energy-efficient and High-quality Laser Processing Assisted by Artificial Intelligence Technology and Simulation

Prof. Dazhong Wu; Prof. Yu Huang; Prof. Hui Chen; Prof. Jianzhao Wu

Submission Deadline: 30 Sep 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: 1

Tong-Yi Zhang
Xingjun Liu
Gerbrand Ceder
Li-Quan Chen
Huajian Gao
Dongying Ju
Peter W. Voorhees
Weihua Wang
Jian Xu
Haibo Zeng
Gang Zhang
Wenqing Zhang
Ankit Agrawal
Rajeev Ahuja
Danial Jahed Armaghani
Ke-Qiu Chen
Long-Qing Chen
Zhongfang Chen
M. Jamal Deen
Xiang-Dong Ding
Chuang Dong
Yong Du
Somnath Ghosh
Ming Hu
Kevin Huang
Qing Jiang
Sergei V Kalinin
Rika Kobayashi
Hao Li
Qian Li
Zi-Kui Liu
Qian Ma
Bohayra Mortazavi
Feng Pan
Gian-Marco Rignanese
Lei Shen
Xiaoyan Song
David J. Srolovitz
Yan-Jing Su
Zhimei Sun
Hong Wang
Wei Wang
Yun-Zhi Wang
Xiao-Dong Xiang
Zhiliang Zhang
Xiaoying Zhuang
Miao Liu
Sergei Manzhos
Yaqiong Su
Chaolin Tan
Xiaonan Wang
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Topic: Application of Machine Learning to Crystal Structure Prediction
Topic: Data-driven Modeling and Design of Quantum Functional Materials
Topic: Computational Thermodynamics, Computational Kinetics and Machine Learning in Advanced Materials
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Editor-in-Chief: Yuping Wu

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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!
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!
2024 Annual Awards of the Journal of Materials Informatics
Congratulations to all Awarded Scholars and Gratitude for their Support for the Journal in 2024

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

Effect of material properties on the thermal responses of the carbonization and pyrolysis layers of polymer matrix composites for charring-ablators

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: 4615 | Downloads: 1957
Download PDF 0 29
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: 871 | Downloads: 577
Download PDF 0 8
Graph neural networks for molecular and materials representation
Xing Wu, ... Quan QianQuan Qian
Open Access | Review | 12 Jun 2023
Views: 3491 | Downloads: 1179
Download PDF 0 1

Topic: Energy-efficient and High-quality Laser Processing Assisted by Artificial Intelligence Technology and Simulation

Prof. Dazhong Wu; Prof. Yu Huang; Prof. Hui Chen; Prof. Jianzhao Wu

Submission Deadline: 30 Sep 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: 1

Related Journals

Energy Materials

Editor-in-Chief: Yuping Wu

Intelligence & Robotics

Editor-in-Chief: Simon X. Yang
Journal of Cancer Metastasis and Treatment
ISSN 2454-2857 (Online) 2394-4722 (Print)
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