ONIOM Method with Charge Transfer Corrections (ONIOM-CT): Analytic Gradients and Benchmarking
Vikrant Tripathy1, Nicholas J Mayhall2, Krishnan Raghavachari1
1Department of Chemistry, Indiana University, Bloomington, Indiana 47405, United States.
Hybrid quantum mechanics/molecular mechanics (QM/MM) methods like ONIOM (a method for large molecules) can be improved. The new ONIOM-CT method corrects charge transfer errors, enhancing accuracy for chemical reactions and proton transfer studies.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Molecular Modeling
Background:
- Hybrid QM/MM methods like ONIOM are crucial for studying large molecular systems.
- Standard ONIOM methods suffer from errors due to link atom treatments, particularly unbalanced charge distribution.
- Previous work introduced ONIOM-CT to correct charge transfer issues using point charges.
Purpose of the Study:
- To derive and implement analytic gradients for ONIOM-CT.
- To generalize ONIOM-CT for systems with multiple link atoms.
- To assess the performance of ONIOM-CT for chemical reactions, including proton transfer.
Main Methods:
- Derivation and implementation of analytic gradients for ONIOM-CT.
- Efficient computation using coupled-perturbed self-consistent equations at a low level of theory.
- Application of ONIOM-CT with Mulliken and Löwdin population analyses for geometry optimizations and reaction energy calculations.
Main Results:
- Analytic gradients for ONIOM-CT were successfully implemented for both single and multiple link atom systems.
- The method was benchmarked on reactions with single link atoms and generalized for multiple link atoms.
- ONIOM-CT demonstrated significant improvements over standard ONIOM for proton transfer reactions.
Conclusions:
- ONIOM-CT with analytic gradients offers an efficient and accurate approach for QM/MM calculations.
- The generalized method expands the applicability of ONIOM-CT to a wider range of complex systems.
- This advancement improves the reliability of computational studies for chemical and biological processes.
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