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Calculating adsorption isotherms using Lennard Jones particle density distributions
1Institute of Nanoscience and Nanotechnology, NCSR Demokritos, Athens, Greece.
Summary
Particle density distributions in pore channels are computed to evaluate thermodynamic properties of molecular adsorption. This method allows for pore-specific analysis and fast computation of adsorption isotherms, correlating well with direct simulations.
Area of Science:
- Computational chemistry
- Materials science
- Physical chemistry
Background:
- Particle density distributions are crucial for understanding molecular adsorption in porous materials.
- Evaluating thermodynamic properties from these distributions is essential for materials design.
- Current methods can be computationally intensive.
Purpose of the Study:
- To develop a computationally efficient method for calculating thermodynamic properties from particle density distributions.
- To enable site-specific and pore-specific analysis of adsorption phenomena.
- To validate the approach by reproducing adsorption isotherms and comparing them with direct simulations.
Main Methods:
- Computation of particle density distributions in pore channels.
- Expression of distributions at variable temperatures to evaluate thermodynamic properties.
- Site-specific and pore-specific analysis within computational cells.
- Adsorption simulations of Lennard-Jones particles (e.g., argon) in ZIF-69.
- Utilizing linear van't Hoff plots for surface coverage analysis.
Main Results:
- Successfully reproduced full adsorption isotherm curves from density distribution functions.
- Demonstrated that computed isotherms correlate well with direct simulation results.
- Showcased the ability to perform pore-specific and site-specific thermodynamic evaluations.
- Confirmed the speed and efficiency of the proposed computational method.
Conclusions:
- Particle density distributions offer a viable and efficient pathway for determining thermodynamic properties in molecular adsorption.
- The method allows for detailed, localized analysis of adsorption behavior within complex porous structures.
- This approach provides a valuable tool for predicting and optimizing adsorption capacities in materials like ZIF-69.
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