Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

Research article (Engineering Fracture Mechanics, 2023) · cited 242× · AI/ML
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Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods

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Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-fatigue-life-prediction-of-metal-materials-perspectives-of-physics-informed-and-data-driven-hybri
MLA “Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-fatigue-life-prediction-of-metal-materials-perspectives-of-physics-informed-and-data-driven-hybri.
BibTeX @misc{4ortxyz_machine-learning-based-fatigue-life-prediction-of-metal-materials-perspectives-of-physics-informed-and-data-driven-hybri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-fatigue-life-prediction-of-metal-materials-perspectives-of-physics-informed-and-data-driven-hybri}, note = {Accessed: 2026-05-24}}
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