Computational Mapping of Dirhodium(II) Catalysts.

Area of Science:

• Organometallic Chemistry
• Catalysis
• Computational Chemistry

Background:

• Dirhodium(II) catalysts exhibit diverse chemistry, enabling synthesis of various molecular classes.
• Efficient catalyst selection is crucial but challenging due to complex reactivity and mechanisms.

Purpose of the Study:

• To develop a database for dirhodium(II) catalysts.
• To aid catalyst selection independent of reaction mechanism and reactivity.
• To facilitate exploration of the reactivity landscape for dirhodium(II)-catalyzed processes.

Main Methods:

• Principal Component Analysis (PCA) of DFT-calculated parameters.
• Capturing steric and electronic properties of dirhodium(II) catalysts.
• Developing a database mapping the catalyst space.

Main Results:

• A database of dirhodium(II) catalysts based on PCA of DFT properties was developed.
• One principal component correlates with reaction outcomes (yield, selectivity).
• The database effectively maps the relevant catalyst space.

Conclusions:

• The developed database facilitates data-led optimization of rhodium-catalyzed transformations.
• This approach aids in selecting more effective catalyst screening sets.
• The tool supports exploration of reactivity landscapes for dirhodium(II) catalysis.