ORIGINAL RESEARCH
Published on 25 Sep 2025
Development of defect localization method for perforated carbon-fiber-reinforced plastic specimens using finite element method and graph neural network
doi 10.3389/fmats.2025.1652484
- 1,716 views
- Frontiers in Materials
- Computational Materials Science
- Research Topics
- Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models
Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models
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Articles
ORIGINAL RESEARCH
Published on 23 Sep 2025
Research on predicting flow stress of 7075 aluminum alloy using machine learning models
doi 10.3389/fmats.2025.1671753
- 1,580 views
MINI REVIEW
Accepted on 15 Aug 2025
Modeling and Design of Micro-structures: Focusing on Functionally Graded Materials and Future Prospects
doi 10.3389/fmats.2025.1659727
- 992 views
ORIGINAL RESEARCH
Published on 08 Apr 2025
Deep learning-driven medical image analysis for computational material science applications
doi 10.3389/fmats.2025.1583615
- 2,357 views
- 2 citations
ORIGINAL RESEARCH
Published on 10 Oct 2024
Enhancing material property prediction with ensemble deep graph convolutional networks
doi 10.3389/fmats.2024.1474609
- 2,343 views
- 7 citations
ORIGINAL RESEARCH
Published on 26 Mar 2024
Effect of network architecture on physics-informed deep learning of the Reynolds-averaged turbulent flow field around cylinders without training data
doi 10.3389/fphy.2024.1385381
- 2,648 views
- 4 citations
ORIGINAL RESEARCH
Published on 10 Aug 2023
Microstructure quality control of steels using deep learning
doi 10.3389/fmats.2023.1222456
- 4,063 views
- 5 citations
