Relative resolution: A hybrid formalism for fluid mixtures

Area of Science:

• Computational physics
• Molecular modeling
• Chemical engineering

Background:

• Traditional molecular models often struggle to balance accuracy and computational cost.
• Simulating complex fluids requires methods that can capture diverse molecular interactions.

Purpose of the Study:

• To introduce a novel hybrid molecular resolution framework.
• To develop an analytical method for unifying fine-grained and coarse-grained models.
• To demonstrate the framework's capability in predicting fluid behavior.

Main Methods:

• Development of a hybrid molecular resolution model.
• Derivation of an analytical expression for energy conservation between models.
• Application of the framework to multi-component and multi-phase fluids.

Main Results:

• Nearest neighbors are modeled with fine-grained detail, while distant neighbors use coarse-grained simplification.
• An analytical expression successfully relates these two models through energy conservation.
• The hybrid framework accurately retrieves structural and thermal properties of complex fluids.

Conclusions:

• The proposed hybrid framework offers a more efficient and accurate approach to molecular simulations.
• This method provides a unified way to describe molecular interactions across different scales.
• The framework has broad applicability for studying diverse fluid systems.