Volume 6, Issue 1 (2026) – 13 articles | Journal of Materials Informatics

Volume 6, Issue 1 (2026) – 13 articles

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Review

Advances in graph neural networks for alloy design and properties predictions: a review

Zhede Zhao

, ... Zhongming Ren

J. Mater. Inf. 2026, 6, 2. DOI: 10.20517/jmi.2025.42

Review | Available online: 12 Jan 2026

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Machine learning-driven new paradigm for Co-based superalloys

Jiahao Luo, ... Qiuzhi Gao

J. Mater. Inf. 2026, 6, 5. DOI: 10.20517/jmi.2025.52

Review | Available online: 14 Jan 2026

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Agentic material science

Chengbo Li, ... Jianjun Liu

J. Mater. Inf. 2026, 6, 10. DOI: 10.20517/jmi.2025.87

Review | Available online: 29 Jan 2026

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Advancing carbon dots research with machine learning: a comprehensive review

Yuze Ren, ... Xiaogang Qu

J. Mater. Inf. 2026, 6, 12. DOI: 10.20517/jmi.2025.72

Review | Available online: 2 Mar 2026

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Perspective

The synergy of geometric tolerance factor and machine learning in discovering stable materials

Zhilong Wang

, ... Fengqi You

J. Mater. Inf. 2026, 6, 1. DOI: 10.20517/jmi.2025.41

Perspective | Available online: 11 Jan 2026

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Research Article

Multiscale simulations of Ge–Sb–Se–Te phase-change alloys for photonic memory applications

Huiyu Li, ... Wei Zhang

J. Mater. Inf. 2026, 6, 3. DOI: 10.20517/jmi.2025.47

Research Article | Available online: 12 Jan 2026

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Uncertainty estimation affects predictor selection and its calibration improves materials optimization

Yuan Jiang, ... Ruihao Yuan

J. Mater. Inf. 2026, 6, 4. DOI: 10.20517/jmi.2025.70

Research Article | Available online: 13 Jan 2026

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Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Chenggang Wu, ... Fengjiang Wang

J. Mater. Inf. 2026, 6, 6. DOI: 10.20517/jmi.2025.59

Research Article | Available online: 22 Jan 2026

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Machine learning-accelerated transition state prediction for strain-engineered high-entropy alloy catalysts

Lei Wang, ... Yilun Liu

J. Mater. Inf. 2026, 6, 8. DOI: 10.20517/jmi.2025.67

Research Article | Available online: 26 Jan 2026

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Multi-objective optimization of fiber laser welding parameters for 316L stainless steel

Shuai Li, ... Yang Xie

J. Mater. Inf. 2026, 6, 7. DOI: 10.20517/jmi.2025.63

Research Article | Available online: 26 Jan 2026

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Accelerating materials discovery via AI-Agent integration of large language models and simulation tools

Xian Wang, ... Mingli Yang

J. Mater. Inf. 2026, 6, 9. DOI: 10.20517/jmi.2025.69

Research Article | Available online: 27 Jan 2026

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A data-driven comparative study of thermomechanical properties in rare-earth zirconate and tantalate oxides for thermal barrier coatings

Ying Zhang, ... Jinshan Li

J. Mater. Inf. 2026, 6, 11. DOI: 10.20517/jmi.2025.71

Research Article | Available online: 1 Feb 2026

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Physically synthesized data for deep learning-based visual scratch inspection of aerospace alloys with complex geometries

Yuanbin Wang, ... Ming Luo

J. Mater. Inf. 2026, 6, 13. DOI: 10.20517/jmi.2025.74

Research Article | Available online: 4 Mar 2026

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