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ACS Central Science
(Apr 2019)
A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction
Zach Jensen,
Edward Kim,
Soonhyoung Kwon,
Terry Z. H. Gani,
Yuriy Román-Leshkov,
Manuel Moliner,
Avelino Corma,
Elsa Olivetti
Affiliations
Zach Jensen
†Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Edward Kim
†Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Soonhyoung Kwon
‡Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Terry Z. H. Gani
‡Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Yuriy Román-Leshkov
‡Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Manuel Moliner
Instituto de Tecnología Química, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Valencia, Spain
Avelino Corma
Instituto de Tecnología Química, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Valencia, Spain
Elsa Olivetti
†Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
DOI
https://doi.org/10.1021/acscentsci.9b00193
Journal volume & issue
Vol. 5, no. 5
pp. 892 – 899
Abstract
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