ORIGINAL RESEARCH
Accepted on 25 Aug 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
- 274 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
2,549
Total downloads
14k
Total views and downloads
Articles
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
- 312 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
- 1,789 views
- 1 citation
ORIGINAL RESEARCH
Published on 10 Oct 2024
Enhancing material property prediction with ensemble deep graph convolutional networks
doi 10.3389/fmats.2024.1474609
- 1,921 views
- 6 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
- 2,395 views
- 4 citations
ORIGINAL RESEARCH
Published on 10 Aug 2023
Microstructure quality control of steels using deep learning
doi 10.3389/fmats.2023.1222456
- 3,842 views
- 5 citations
