Modelling molecule-surface interactions--an automated quantum-classical approach using a genetic algorithm

Area of Science:

• Computational Chemistry
• Materials Science
• Surface Science

Background:

• Developing accurate force fields for molecule-surface interactions is crucial for simulating complex systems.
• Classical force fields often require careful parameterization to match high-accuracy quantum mechanical calculations.
• Understanding adsorption phenomena is key in catalysis, materials design, and nanotechnology.

Purpose of the Study:

• To present an automated and efficient method for developing classical force fields for molecule-surface interactions.
• To ensure the classical force field accurately reproduces adsorption energy landscapes derived from density functional theory (DFT).
• To demonstrate the method's flexibility and applicability to various molecular systems and surfaces.

Main Methods:

• Utilizing a genetic algorithm (GA) to parameterize classical force fields.
• Matching the adsorption energy landscape from classical calculations to that obtained from DFT.
• Employing pairwise Lennard-Jones (LJ) and Coulomb potentials to model molecule-surface interactions.
• Refining LJ parameters to accurately represent adsorption energies.

Main Results:

• The GA-based method rapidly converges and efficiently searches the parameter space.
• The developed classical model successfully reproduces a significant number of adsorption structures and energies.
• The water on ZnO(0001) surface benchmark system demonstrated the method's capability.
• The classical model accurately describes a wide range of interaction energies.

Conclusions:

• The automated GA approach provides an efficient and accurate route to developing molecule-surface force fields.
• The method's ability to match DFT landscapes ensures reliable classical simulations of adsorption.
• This technique is versatile and applicable to diverse chemical systems and material interfaces.
• Accurate force fields are essential for realistic modeling of fluid-solid interfaces.