DFT-CES2: Quantum Mechanics Based Embedding for Mean-Field QM/MM of Solid-Liquid Interfaces

Area of Science:

• Computational Chemistry
• Materials Science
• Physical Chemistry

Background:

• Solid-liquid interfaces are critical for heterogeneous catalysis and electrochemical processes.
• Understanding atom-scale interfacial behavior is essential but challenging.
• Existing simulation methods often struggle with accuracy and scalability for complex interfaces.

Purpose of the Study:

• To introduce DFT-CES2, a novel first-principles-based multiscale simulation method.
• To enable accurate atomic-scale simulations of complex solid-liquid interfaces.
• To provide a computationally efficient approach for studying interfacial phenomena.

Main Methods:

• Developed a mean-field Quantum Mechanics/Molecular Mechanics (QM/MM) method named DFT-CES2.
• Implemented a quantum-mechanics-based embedding scheme to model noncovalent interactions.
• Partitioned interactions into Pauli repulsion, Coulomb (including polarization), and London dispersion energies using transferable parameters.

Main Results:

• DFT-CES2 demonstrates chemical accuracy in describing interfacial interactions, validated against high-level quantum mechanical calculations.
• The method effectively models complex noncovalent interactions at solid-liquid interfaces.
• Accurate simulations are achieved without extensive system-specific parametrization.

Conclusions:

• DFT-CES2 offers a reliable and broadly applicable tool for atomic-scale simulations of solid-liquid interfaces.
• This method facilitates the elucidation of complex interfacial phenomena in areas like catalysis and electrochemistry.
• The approach is suitable for large-scale, multicomponent systems, advancing materials and chemical process understanding.