Efficient Constrained Density Functional Theory Implementation for Simulation of Condensed Phase Electron Transfer...

Area of Science:

• Computational Chemistry
• Physical Chemistry
• Theoretical Chemistry

Background:

• Electron transfer (ET) reactions are fundamental in chemistry and biology.
• Constrained density functional theory (CDFT) offers a robust framework for studying ET kinetics.
• Accurate modeling of solvent effects is crucial for understanding condensed-phase ET reactions.

Purpose of the Study:

• To present a scalable parallel implementation of CDFT for condensed-phase ET reactions.
• To incorporate an explicit quantum chemical solvent representation within the CDFT framework.
• To validate the computational approach against established theoretical benchmarks.

Main Methods:

• Development of a well-scaling parallel CDFT algorithm.
• Utilization of a mixed basis set combining Gaussian functions and plane waves.
• Application of CDFT-based molecular dynamics simulations for reaction studies.

Main Results:

• The implementation demonstrates accurate prediction of electronic couplings and charge transfer energies.
• Validation against prior theoretical studies confirms the method's reliability.
• The approach is efficient for investigating complex ET reactions in solution.

Conclusions:

• The presented parallel CDFT method provides an accurate and efficient tool for studying condensed-phase ET kinetics.
• Explicit quantum chemical solvent modeling enhances the reliability of theoretical ET predictions.
• This work facilitates deeper insights into the mechanisms of electron transfer in chemical and biological systems.