4.1 Article

Swiss CAT plus , a Data-driven Infrastructure for Accelerated Catalysts Discovery and Optimization

Journal

CHIMIA
Volume 77, Issue 3, Pages 154-158

Publisher

SWISS CHEMICAL SOC
DOI: 10.2533/chimia.2023.154

Keywords

Automation; Catalysts; Data-driven; Research infrastructure

Ask authors/readers for more resources

The Catalysis Hub - Swiss CAT+ is a funded infrastructure project jointly led by EPFL and ETHZ, which provides a unique integrated technology platform for automated and high-throughput experimentation in sustainable catalytic technologies. Divided into two hubs, EPFL focuses on homogeneous catalysis while ETHZ focuses on heterogeneous catalysis, the platform is open to both academic and private research groups. Through significant investment, both hubs have acquired high-end robotic platforms for synthesis, characterization, and testing of a large number of molecular and solid catalysts. The platforms are accompanied by a fully digitalized experimental workflow and a specific data management strategy to support closed-loop experimentation and advanced computational data analysis.
The Catalysis Hub - Swiss CAT+, is a new infrastructure project funded by the ETH Domain, co -head-ed by EPFL and ETHZ. It offers the scientific community a unique integrated technology platform combining automated and high-throughput experimentation with advanced computational data analysis to accelerate the discoveries in the field of sustainable catalytic technologies. Divided into two hubs of expertise, homogeneous catalysis at EPFL and heterogeneous catalysis at ETHZ, the platform is open to academic and private research groups. Following a multi-year investment plan, both hubs have acquired and developed several high-end robotic platforms devoted to the synthesis, characterization, and testing of large numbers of molecular and solid cata-lysts. The hardware is associated with a fully digitalized experimental workflow and a specific data management strategy to support closed-loop experimentation and advanced computational data analysis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available