Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts
Author:
Affiliation:
1. Center for Materials research by Information Integration (CMI2)
2. National Institute for Materials Science (NIMS)
3. Tsukuba
4. Japan
5. Department of Chemistry
Abstract
An innovative web-based integrated catalyst informatics platform, Catalyst Acquisition by Data Science (CADS), is developed for use towards the discovery and design of catalysts.
Funder
Japan Society for the Promotion of Science
Core Research for Evolutional Science and Technology
Publisher
Royal Society of Chemistry (RSC)
Subject
Fluid Flow and Transfer Processes,Process Chemistry and Technology,Chemical Engineering (miscellaneous),Chemistry (miscellaneous),Catalysis
Link
http://pubs.rsc.org/en/content/articlepdf/2020/RE/D0RE00098A
Reference22 articles.
1. Statistical Analysis of Past Catalytic Data on Oxidative Methane Coupling for New Insights into the Composition of High-Performance Catalysts
2. The Catalyst Genome
3. To address surface reaction network complexity using scaling relations machine learning and DFT calculations
4. The Rise of Catalyst Informatics: Towards Catalyst Genomics
5. Machine Learning for Computational Heterogeneous Catalysis
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