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Computing Reaction Kinetics with MC-PDFT-OPESf: Combining Multireference Electronic Structure Theory and Enhanced
Aniruddha Seal1, Laura Gagliardi1, Andrew L Ferguson1,2
1Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States.
Accurate catalytic reaction rates are essential. This study combines multiconfiguration pair-density functional theory (MC-PDFT) and probability-enhanced sampling flooding (OPESf) for efficient computation of kinetics in complex molecular systems.
Area of Science:
- Computational Chemistry
- Chemical Kinetics
- Quantum Chemistry
Background:
- Accurate rate constants are vital for optimizing catalytic reactions.
- Enzymes, metalloproteins, and heterogeneous catalysts present computational challenges due to multiconfigurational reaction sites and high activation barriers.
- Efficient sampling of reactive transitions is often hindered by these challenges.
Purpose of the Study:
- To develop and demonstrate an efficient computational approach for determining accurate reaction kinetics.
- To address the dual challenge of accurate electronic structure and enhanced sampling for complex catalytic systems.
- To provide a cost-effective method for computing kinetics in strongly correlated molecular systems.
Main Methods:
- Combining multiconfiguration pair-density functional theory (MC-PDFT) for accurate electronic structure calculations.
- Utilizing on-the-fly probability-enhanced sampling flooding (OPESf) to accelerate the sampling of reactive transitions.
- Applying the combined MC-PDFT-OPESf method to the Diels-Alder [4+2] cycloaddition reaction.
Main Results:
- The MC-PDFT-OPESf method accurately predicts reaction rates for the Diels-Alder reaction.
- The computed rates show agreement with experimental data.
- The approach achieves this accuracy at a significantly reduced computational cost compared to conventional unbiased *ab initio* methods.
Conclusions:
- MC-PDFT-OPESf is an efficient and accurate method for computing kinetics in systems with strong correlation.
- This approach offers a viable solution for studying complex catalytic reactions.
- The proposed method facilitates a deeper understanding and optimization of catalytic processes.
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