Engineering and Technology

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!

00:00

Playback language: English

Related Publications

Explore these studies to deepen your understanding of the subject.

Business

Mining the impact of social media information on public green consumption attitudes: a framework based on ELM and text data mining

J. Fan, L. Peng, et al.

Medicine and Health

A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19

M. M. H. Shandhi, P. J. Cho, et al.

Chemistry

Identifying candidate hosts for quantum defects via data mining

A. M. Ferrenti, N. P. D. Leon, et al.

Chemistry

Accelerated discovery of molecular nanojunction photocatalysts for hydrogen evolution by using automated screening and flow synthesis

W. Zhang, M. Yu, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny