Solv: An Alternative Continuum Model Implementation Based on Fixed Atomic Charges, Scaled Particle Theory, and the
1N. N. Semenov Federal Research Center for Chemical Physics RAS, Kosygina Street 4, 119991 Moscow, Russian Federation.
Journal of Chemical Theory and Computation
|June 30, 2023
Summary
A new continuum model improves solvation free energy calculations using electrostatic and non-electrostatic methods. The scaled particle theory with volume (SPT-V) and CM5 charges offers the best performance for nonaqueous solvents.
Area of Science:
- Computational chemistry
- Physical chemistry
- Theoretical chemistry
Background:
- Continuum models are essential for predicting solvation free energies.
- Accurate electrostatic and non-electrostatic interactions are crucial for model performance.
- Existing models require refinement for diverse chemical systems and solvents.
Purpose of the Study:
- To develop and validate an alternative continuum model for solvation free energy calculations.
- To assess the performance of different approaches for calculating non-electrostatic contributions.
- To identify the optimal model parameters for nonaqueous solvent systems.
Main Methods:
- Implementation of a noniterative conductor-like screening model for electrostatic energy.
- Calculation of nonelectrostatic dispersion-repulsion energy using the Caillet-Claverie method.
- Computation of nonelectrostatic cavitation energy via scaled particle theory (SPT) with solute radii from Pierotti-Claverie (PC) schemes (SPT-S, SPT-V).
- Fitting solvent hard-sphere radius to experimental data for 2530 neutral species in 92 solvents.
Main Results:
- The model successfully reproduces absolute and relative solvation free energies.
- The SPT-V approach, utilizing CM5 charges, demonstrated superior performance.
- The optimized solvent hard-sphere radius improved accuracy across various systems.
Conclusions:
- The developed continuum model provides a robust method for solvation free energy prediction.
- The SPT-V approach combined with CM5 charges is recommended for nonaqueous solvents.
- This model offers a valuable tool for computational studies in physical and computational chemistry.
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