Original Research
Accepted on 13 Jun 2025
Rapid Mold Optimization Based on Ultraviolet Curing 3D Printing Technology
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2025.1605771
- 184 views
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187 articles
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
- 899 views
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
- 798 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
- 1,307 views
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
- 1,333 views
- 2 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
- 1,172 views
Original Research
Published on 05 Dec 2024
Comparative flank wear and produced chips types analysis of CNMG 120408 indexable cutting inserts after machining hardened 1.6582 steel
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1432039
- 769 views
Original Research
Published on 14 Nov 2024
Prediction and analysis of strength and economic feasibility of filling materials under the influence of mix proportion and curing age
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1428859
- 688 views
Original Research
Published on 23 Oct 2024
Glass transition temperature of asphalt binder based on atomistic scale simulation
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1485669
- 976 views
Original Research
Published on 22 Oct 2024
Modelling the properties of aerated concrete on the basis of raw materials and ash-and-slag wastes using machine learning paradigm
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1481871
- 2,336 views
- 2 citations
Original Research
Published on 10 Oct 2024
Enhancing material property prediction with ensemble deep graph convolutional networks
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1474609
- 1,912 views
- 4 citations
Original Research
Published on 03 Oct 2024
Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1466793
- 2,466 views
- 1 citation
Original Research
Published on 16 Sep 2024
Evaluation of design parameters for geosynthetic reinforced-soil integrated bridge system based on finite element analysis
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1454201
- 1,263 views
Original Research
Published on 03 Sep 2024
Investigating the structural, electronic, and optical properties of the novel double perovskite K2AgBiI6 using DFT
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1448400
- 2,441 views
- 10 citations
Original Research
Published on 07 Mar 2024
Optimization of surface roughness in milling of EN 24 steel with WC-Coated inserts using response surface methodology: analysis using surface integrity microstructural characterizations
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1269608
- 5,929 views
- 63 citations
Original Research
Published on 01 Mar 2024
Estimation of slope stability using ensemble-based hybrid machine learning approaches
in Computational Materials Science
Frontiers in Materials
doi 10.3389/fmats.2024.1330609
- 4,820 views
- 3 citations