How are New Catalysts Discovered?

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The discovery of new catalysts with desired properties relies on methodologies that integrate computational tools and experimental feedback. Chemists and chemical engineers focus on electrocatalysts for oxygen reduction in hydrogen fuel cells and water oxidation in electrolysis. Key tools in this process include Density Functional Theory (DFT) and Phase Field Modeling (PFM), which facilitate the exploration of various combinations of transitional metal elements, often in the form of metal oxides or intermetallics. This iterative approach enhances understanding and efficiency in catalyst development.

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  • Density Functional Theory (DFT)
  • Phase Field Modeling (PFM)
  • Computational multiphysics
  • Knowledge of transitional metal elements and their oxides
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Chemists, chemical engineers, and researchers focused on catalyst development and optimization in energy applications, particularly in fuel cells and electrolysis systems.

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What methodology is used for developing new catalysts with desired properties?

To give some real world example, today chemists and chemical engineers try to find electrocatalysts needed for reduction of oxygen in hydrogen fuel cells and for oxidation of water in water electrolysis needed to make both more energy efficient.

When trying to do so, where do they start from?
 
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Dario56 said:
What methodology is used for developing new catalysts with desired properties?
Catalysis is well-established; it's been known for decades, and the nature of various catalysts are already known. However, physical chemists and chemical physicists now use tools like density functional theory (DFT) and Phase Field modeling (PFM).

For example, https://aiche.onlinelibrary.wiley.com/doi/abs/10.1002/aic.14401
https://pubs.acs.org/doi/abs/10.1021/acs.jpclett.7b02010
https://www.sciencedirect.com/science/article/pii/S1876610218306507
https://www.frontiersin.org/articles/10.3389/fctls.2021.658965/full

PFM - https://www.osti.gov/pages/servlets/purl/1343950
https://aip.scitation.org/doi/abs/10.1063/1.4908281

Computational multiphysics is another approach.
Generally - https://link.springer.com/article/10.1007/s10562-014-1431-1Edit/update: I should add that there are only so many elements, and more so, a limited number of transitional metal elements that are practical, usually in the form of metal oxides, but one can also find metal or intermetallic combinations. So, we can try different combinations based on what we know and enhance the understanding with computational tools, which inform experiments, with experiments feeding back to modeling.
 
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