What is it about?

This is a small review on the studies in the area of nanomaterials-mediated catalysis, which involve the investigations of both correlational and causal relationships between the variables of interest. It subsequently present some challenges we face in incorporating more causal analysis and also some suggestions for future directions.

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Why is it important?

The outcomes from purely correlational studies lack actionability due to missing mechanistic insights. Causal inference can potentially provide access to more actionable insights by allowing the discovery and verification of deeply obscured causal relationships between variables.


Looking at the causal studies in this niche area has been fun and eye-opening. Hoping that more of us will come to realise the importance of gleaning causal insights from our data. Enjoy the read!

Jonathan Ting
Australian National University

Read the Original

This page is a summary of: Data-driven causal inference of process-structure relationships in nanocatalysis, Current Opinion in Chemical Engineering, June 2022, Elsevier,
DOI: 10.1016/j.coche.2022.100818.
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