Fast estimation of ion-pairing for screening electrolytes: A cluster can approximate a bulk liquid

Area of Science:

• Physical Chemistry
• Computational Chemistry
• Materials Science

Background:

• Ion-pairing significantly influences electrolyte properties.
• Accurate ion-pairing estimations are crucial for developing novel electrolytes.

Purpose of the Study:

• To introduce an efficient cluster model for estimating ion-pair potential-of-mean-force.
• To facilitate the design and screening of new electrolyte systems.

Main Methods:

• A gas-phase cluster model incorporating ion-pairs and explicit solvent.
• Enhanced sampling techniques with harmonic restraints to manage sampling space.
• Development of a cluster ion-pair sampling tool.

Main Results:

• The cluster model provides efficient and accurate estimates of local ion-pairing.
• Demonstrated utility for screening simple and poly-electrolyte systems.
• Harmonic restraints effectively controlled solvent escape and inter-ion distances.

Conclusions:

• The developed cluster model is a valuable tool for electrolyte research.
• This approach accelerates the screening process for novel electrolyte materials.
• The model offers a computationally efficient method for understanding ion-pair behavior.