Review
Accepted on 21 Nov 2025
Data-Driven AI Approaches for Screening High-Efficiency, Stable, and Lead-Free Perovskite Photovoltaic Materials: A Review
in Computational Materials Science
Frontiers in Materials
- 126 views
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197 articles
Original Research
Accepted on 27 Oct 2025
Defect Identification and Classification of Fair-faced Concrete based on Feature Enhancement
in Computational Materials Science
Frontiers in Materials
- 252 views
Original Research
Accepted on 27 Oct 2025
Deep Learning-Based Image Classification for Microstructural Analysis in Computational Materials Science
in Computational Materials Science
Frontiers in Materials
- 441 views
Mini Review
Published on 22 Oct 2025
Modeling and design of micro-structures: focusing on functionally graded materials and future prospects
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1659727
- 2,076 views
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
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1652484
- 2,058 views
Original Research
Published on 23 Sep 2025
Research on predicting flow stress of 7075 aluminum alloy using machine learning models
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1671753
- 1,895 views
Original Research
Published on 29 Aug 2025
Detection of wood grain defects based on edge prior aggregation
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1635222
- 1,838 views
Review
Published on 08 Aug 2025
Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimization approaches
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1645227
- 4,409 views
- 1 citation
Original Research
Published on 30 Jul 2025
TiAlNb alloy interatomic potentials: comparing passive and active machine learning techniques with MTP and DeePMD
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1591955
- 2,087 views
Original Research
Published on 18 Jul 2025
Enhancing phase change thermal energy storage material properties prediction with digital technologies
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1616233
- 1,953 views
Original Research
Published on 02 Jul 2025
Rapid mold optimization based on ultraviolet curing 3D printing technology
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1605771
- 1,836 views
Original Research
Published on 06 Jun 2025
Digitized material design and performance prediction driven by high-throughput computing
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1599439
- 2,967 views
- 1 citation
Original Research
Published on 14 Apr 2025
Classification, identification, and quantitative study of defects in aluminum plates using pulsed alternating current field measurement combined with principal component analysis
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1569055
- 1,515 views
Original Research
Published on 08 Apr 2025
Deep learning-driven medical image analysis for computational material science applications
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1583615
- 4,455 views
- 2 citations
Original Research
Published on 21 Jan 2025
Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1542655
- 2,775 views
- 6 citations
Original Research
Published on 11 Dec 2024
Influence of microstructure on the wettability of tobacco leaves: a theoretical model and quantitative analysis
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1485713
- 1,918 views
- 1 citation