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Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments
Research article (Theoretical and Applied Fracture Mechanics, 2024) · cited 12× · AI/ML
Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments
Summary
Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments is a scholarly article[1].
Key Facts
Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approach-for-predicting-and-understanding-fatigue-crack-growth-rate-of-austenitic-stainless-steels-in-h
MLA“Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approach-for-predicting-and-understanding-fatigue-crack-growth-rate-of-austenitic-stainless-steels-in-h.
BibTeX@misc{4ortxyz_machine-learning-approach-for-predicting-and-understanding-fatigue-crack-growth-rate-of-austenitic-stainless-steels-in-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approach-for-predicting-and-understanding-fatigue-crack-growth-rate-of-austenitic-stainless-steels-in-h}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning approach for predicting and understanding fatigue crack growth rate of austenitic stainless steels in high-temperature water environments — https://4ort.xyz/entity/machine-learning-approach-for-predicting-and-understanding-fatigue-crack-growth-rate-of-austenitic-stainless-steels-in-h (retrieved 2026-05-24)
