Machine learning-based fatigue life prediction of metal materials: Perspectives of physics-informed and data-driven hybrid methods
East China University of Science and Technology · Shanghai Innovative Research Center of Traditional Chinese Medicine
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Abstract
No abstract available for this paper.
Citation impact
242
total citations
- FWCI
- 38.31
- Percentile
- 100%
- References
- 250
Citations per year
Authors
4- HWHaijie Wang
East China University of Science and Technology
- BLBo LiCorresponding
East China University of Science and Technology
- JGJian‐Guo Gong
East China University of Science and Technology
- FXFu‐Zhen XuanCorresponding
East China University of Science and Technology, Shanghai Innovative Research Center of Traditional Chinese Medicine
Topics & keywords
Topics
Keywords
- Consistency (knowledge bases)
- Process (computing)
- Data-driven
- Data science
- Computer science
- Proof of concept
- Systems engineering
- Experimental data
UN Sustainable Development Goals
- Responsible consumption and production
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