Using data mining technology in screening potential additives to Ni/Al2O3 catalysts for methanation
Author:
Affiliation:
1. College of Information Engineering
2. Taiyuan University of Technology
3. Taiyuan 030024
4. China
5. Key Laboratory of Coal Science and Technology (Taiyuan University of Technology)
6. Ministry of Education and Shanxi Province
Abstract
Data mining reduces the number of catalysts to be empirically analyzed and accelerates the discovery of new catalysts.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Catalysis
Link
http://pubs.rsc.org/en/content/articlepdf/2017/CY/C7CY01634D
Reference49 articles.
1. Effect of supercritical water gasification treatment on Ni/La2O3-Al2O3-based catalysts
2. Production of synthetic natural gas (SNG) from coal and dry biomass – A technology review from 1950 to 2009
3. Recent advances in methanation catalysts for the production of synthetic natural gas
4. Low-temperature methanation of syngas in slurry phase over Zr-doped Ni/γ-Al2O3 catalysts prepared using different methods
5. Methanation of carbon monoxide on ordered mesoporous NiO–TiO2–Al2O3 composite oxides
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