Semi-supervised machine-learning classification of materials synthesis procedures

Volume: 5, Issue: 1
Published: Jul 8, 2019
Abstract
Digitizing large collections of scientific literature can enable new informatics approaches for scientific analysis and meta-analysis. However, most content in the scientific literature is locked-up in written natural language, which is difficult to parse into databases using explicitly hard-coded classification rules. In this work, we demonstrate a semi-supervised machine-learning method to classify inorganic materials synthesis procedures from...
Paper Details
Title
Semi-supervised machine-learning classification of materials synthesis procedures
Published Date
Jul 8, 2019
Volume
5
Issue
1
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