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Grand-canonical Monte Carlo method for Donnan equilibria.
S A Barr1, A Z Panagiotopoulos
1Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.
We developed a new simulation method for Donnan equilibria, accurately predicting electrochemical potential and osmotic pressure. This approach accounts for ion partitioning, improving simulation reliability for electrolyte systems.
Area of Science:
- Computational Chemistry
- Physical Chemistry
- Colloid Science
Background:
- Donnan equilibria are crucial in systems with semipermeable membranes and charged species.
- Accurate simulation of ion partitioning across membranes is computationally challenging.
- Existing methods often struggle with charge neutrality requirements in electrostatic calculations.
Purpose of the Study:
- To introduce a novel direct simulation method for Donnan equilibria.
- To enable accurate calculation of Donnan electrochemical potential and osmotic pressure.
- To validate the simulation method against theoretical predictions and experimental data.
Main Methods:
- Employed a grand-canonical Monte Carlo scheme.
- Treated positive and negative ions separately to handle unequal partitioning.
- Utilized Ewald summation for electrostatic interactions, relaxing instantaneous charge neutrality.
Main Results:
- The simulation method accurately predicts electrochemical potential, osmotic pressure, and salt concentrations.
- Demonstrated reliable results even without instantaneous charge neutrality, relying on average system neutrality.
- Achieved superior agreement with experimental data for charged colloids compared to constant-NVT simulations.
Conclusions:
- The proposed simulation method effectively captures the physics of Donnan equilibria.
- Direct simulation of ion partitioning is essential for accurate Donnan potential prediction.
- This method offers a reliable tool for studying complex electrolyte systems with semipermeable membranes.
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