Found: 17
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Exploration of materials fatigue influence factors using interpretable machine learning.
- Published in:
- Fatigue & Fracture of Engineering Materials & Structures, 2024, v. 47, n. 8, p. 2752, doi. 10.1111/ffe.14315
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- Article
Analysis of data‐driven models for predicting fatigue strength of steel components with uncertainty quantification.
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- Fatigue & Fracture of Engineering Materials & Structures, 2024, v. 47, n. 3, p. 1036, doi. 10.1111/ffe.14195
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- Article
Reduction of testing effort for fatigue tests: Application of Bayesian optimal experimental design.
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- Fatigue & Fracture of Engineering Materials & Structures, 2023, v. 46, n. 12, p. 4783, doi. 10.1111/ffe.14156
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- Article
Author Correction: Materials fatigue prediction using graph neural networks on microstructure representations.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-40772-8
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- Article
Materials fatigue prediction using graph neural networks on microstructure representations.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-39400-2
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- Article
Harnessing length and height changes in thermoresponsive programmable materials.
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- Programmable Materials, 2023, v. 1, p. 1, doi. 10.1017/pma.2023.9
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- Article
2D Numerical Simulation of Auxetic Metamaterials Based on Force and Deformation Consistency.
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- Materials (1996-1944), 2022, v. 15, n. 13, p. 4490, doi. 10.3390/ma15134490
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- Article
Addressing materials' microstructure diversity using transfer learning.
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- NPJ Computational Materials, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41524-022-00703-z
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- Article
A deep learning approach for complex microstructure inference.
- Published in:
- Nature Communications, 2021, v. 12, n. 1, p. 1, doi. 10.1038/s41467-021-26565-5
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- Article
Adaptive Wettability of a Programmable Metasurface.
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- 2021
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- Correction Notice
Adaptive Wettability of a Programmable Metasurface.
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- Advanced Engineering Materials, 2021, v. 23, n. 2, p. 1, doi. 10.1002/adem.202001037
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- Article
Actuating Shape Memory Polymer for Thermoresponsive Soft Robotic Gripper and Programmable Materials.
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- Molecules, 2021, v. 26, n. 3, p. 522, doi. 10.3390/molecules26030522
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- Article
Mechanical Metamaterials on the Way from Laboratory Scale to Industrial Applications: Challenges for Characterization and Scalability.
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- Materials (1996-1944), 2020, v. 13, n. 16, p. 3605, doi. 10.3390/ma13163605
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- Article
Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning.
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- Materials (1996-1944), 2020, v. 13, n. 15, p. 3298, doi. 10.3390/ma13153298
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- Article
Tensile Behavior of Air Plasma Spray MCrAlY Coatings: Role of High Temperature Agings and Process Defects.
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- Metallurgical & Materials Transactions. Part A, 2020, v. 51, n. 6, p. 2766, doi. 10.1007/s11661-020-05722-3
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- Article
Real-Time GPU-Based Digital Image Correlation Sensor for Marker-Free Strain-Controlled Fatigue Testing.
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- Applied Sciences (2076-3417), 2019, v. 9, n. 10, p. 2025, doi. 10.3390/app9102025
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- Article
Tensile and compressive microspecimen testing of bulk nanoporous gold.
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- JOM: The Journal of The Minerals, Metals & Materials Society (TMS), 2009, v. 61, n. 12, p. 26, doi. 10.1007/s11837-009-0176-6
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- Article