Catalysis Characterization Processing and Visualization Tools for Large Open Research Data
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Abstract
Catalysts play a major role in the production of many chemicals that are used everyday. Their proper characterization allows to understand their properties and therefore enables a rational design of better performing catalysts. Therefore, having large amounts of open access characterization data of catalysts will enable more efficient data/machine learning driven approaches to understand catalysts at a higher level and further speed up the design of better performing catalysts. However, although a wide variety of catalyst characterization data and open access repositories are available, one missing link is the proper and standardized data processing step complying to the FAIR principles prior to the upload to open access repositories.
At Swiss Cat+, an ETH domain technology platform, large amounts of data related to catalyst characterization are generated with the help of automated high-throughput technologies. Therefore the aim of the proposal is to implement additional components within the ETHZ Swiss Cat+ ORD Roadmap to have streamlined and standardized catalysis characterization data processing, and visualization tools within and beyond Swiss Cat+. This implementation will fully unlock the potential of using catalysis characterization data that are generated globally.