Flexible and Comprehensive Implementation of MD-PMM Approach in a General and Robust Code

Area of Science:

• Computational Chemistry
• Quantum Chemistry
• Molecular Dynamics

Background:

• Estimating quantum chemistry observables in complex condensed-phase systems is computationally challenging.
• Existing methods often lack user-friendliness and flexibility for intricate molecular simulations.

Purpose of the Study:

• To recode and enhance the Perturbed Matrix Method (PMM) for use with Molecular Dynamics (MD) trajectories.
• To implement an improved, user-friendly, and flexible MD-PMM tool within the Gaussian suite of programs.
• To validate the new implementation and showcase its capabilities for complex systems.

Main Methods:

• Recoding the Perturbed Matrix Method (PMM) from scratch.
• Integrating PMM with Molecular Dynamics (MD) trajectories (MD-PMM).
• Implementing features for rigid and flexible quantum centers, essential dynamics, and clustering.
• Developing a black-box default implementation with options for fine-tuning parameters and external data integration.

Main Results:

• A user-friendly and flexible MD-PMM tool has been successfully implemented in the Gaussian suite.
• The new implementation allows for the estimation of quantum chemistry observables in complex condensed-phase systems.
• Validation studies on Tyrosine and Uridine demonstrate the code's performance and new features.

Conclusions:

• The enhanced MD-PMM tool provides a powerful and accessible approach for studying complex molecular systems.
• The implementation facilitates detailed investigations of quantum chemistry observables in condensed phases.
• The new features and validated performance make it a valuable resource for computational chemists.