Constructing catalyst knowledge networks from catalyst big data in oxidative coupling of methane for designing catalysts
Lauren Takahashi, Thanh Nhat Nguyen, Sunao Nakanowatari, Aya Fujiwara, Toshiaki Taniike, Keisuke Takahashi
Abstract
yields, several of which resulted in yields greater than those originally reported in the high-throughput data. Thus, transforming high-throughput catalytic data into catalyst design-friendly maps provides a new method of catalyst design that is more efficient and has a higher likelihood of resulting in high performance catalysts.
Topics & Concepts
CatalysisThroughputOxidative coupling of methaneComputer scienceChemistryCombinatorial chemistryBiological systemProcess engineeringEngineeringOrganic chemistryWirelessTelecommunicationsBiologyCatalysis and Oxidation ReactionsMachine Learning in Materials ScienceComplex Network Analysis Techniques