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Field of Research: Engineering » Category: Materials Science, Characterization & Testing
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Materials Science, Characterization & Testing

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A novel machine learning technique for peak load prediction in concrete-filled steel column based on Kolmogorov–Arnold model
Mechanics of Advanced Materials and Structures 2025-08-06
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1 Polymer Testing 13
2 Materials Characterization 12
- Engineering Failure Analysis 12
4 NDT & E International 11
5 Quantitative Infrared Thermography Journal 9
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New papers in 'Materials Science, Characterization & Testing' in the past 7 days:
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Latest Articles
11
Aug
2025
Prediction of freeze-thaw deterioration of hydraulic concrete exposed to freeze-thaw temperature and saturation level
Mechanics of Time-Dependent Materials
11
Aug
2025
Analytical characterization of viscoelasticity in Zener and generalized Zener models under typical loading conditions Gold Open Access
Mechanics of Time-Dependent Materials
11
Aug
2025
Critical parameters for optimizing bolted connections in subsea oil and gas applications: experimental evaluation of thread engagement length and nut
Engineering Failure Analysis
11
Aug
2025
Rock failure analysis spanning two magnitude scales incorporating micro-cracks adjacent to the dominant macro-fracture tip
Engineering Failure Analysis
11
Aug
2025
Tribology and deformation behaviors in gradient-grain stainless steel by experimental study and molecular dynamics simulation
Engineering Failure Analysis
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