A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction
Volume: 5, Issue: 5, Pages: 892 - 899
Published: Apr 19, 2019
Abstract
Zeolites are porous, aluminosilicate materials with many industrial and "green" applications. Despite their industrial relevance, many aspects of zeolite synthesis remain poorly understood requiring costly trial and error synthesis. In this paper, we create natural language processing techniques and text markup parsing tools to automatically extract synthesis information and trends from zeolite journal articles. We further engineer a data set of...
Paper Details
Title
A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction
Published Date
Apr 19, 2019
Volume
5
Issue
5
Pages
892 - 899
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