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Automated pipeline for superalloy data by text mining
Engineering and Technologynpj Computational Materials

Automated pipeline for superalloy data by text mining

W. Wang, X. Jiang, et al.

This groundbreaking research by Weiren Wang and colleagues introduces a novel natural language processing pipeline for extracting critical data from scientific literature, specifically targeting superalloys. The study successfully analyzes 2531 records, paving the way for a predictive model of γ solvus temperatures with remarkable accuracy. Discover how this work is revolutionizing material design and data utilization!... show more
Citation Metrics
Citations
80
Influential Citations
0
Reference Count
61
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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