Solvation Free Energies in Subsystem Density Functional Theory.

Area of Science:

• Computational chemistry
• Physical chemistry
• Chemical process modeling

Background:

• Accurate solvent effect description is crucial for chemical process modeling.
• Existing methods may face challenges with scalability and transferability of solvent effects.

Purpose of the Study:

• To develop a hybrid quantum mechanical model for solute-solvent and solvent-solvent interactions.
• To achieve both scalability and transferability in solvent effect predictions for diverse solutes and solvents.

Main Methods:

• Hybrid approach combining subsystem density functional theory (DFT) and continuum solvation schemes.
• Consistent subsystem decomposition for solute and solvent.
• Investigation of molecular dynamics and stationary point sampling for solvent configurations.

Main Results:

• The hybrid model demonstrates accurate reproduction of reaction barriers and energies.
• Results show good agreement with experimental data and other theoretical methods.
• The model maintains scalability with an increasing number of subsystems.

Conclusions:

• The developed hybrid model accurately describes solvent effects in chemical processes.
• The approach enhances the transferability and scalability of quantum mechanical solvent effect calculations.
• This method provides a reliable tool for predicting reaction energetics.