Adsorption desorption processes on mesoscopic pores conected to microscopic pores of complex geometry using the Ising model
M. A. Balderas Altamirano, S. Cordero, G. Roman, A. Gama Goicochea

TL;DR
This study uses 3D Ising model simulations to analyze nitrogen adsorption and desorption in complex porous structures, revealing hysteresis behavior, pore geometry effects, and implications for nanomaterials and oil recovery.
Contribution
It introduces a detailed simulation approach for complex pore geometries and links microscopic pore behavior to macroscopic adsorption phenomena.
Findings
Hysteresis cycle depends on pore geometry and surface interaction strength.
Adsorption isotherms show jumps due to pore structure.
Results align with experimental data and inform nanomaterial design.
Abstract
In this work we report studies of nitrogen adsorption and desorption onto solid surfaces using computer simulations of the three dimensional Ising model, for systems with complex porous structures at the mesoscopic and microscopic levels. A hysteresis cycle between the adsorption and desorption processes appears and we find that its characteristics are dependent on the geometry of the pore and on the strength of the surface fluid interaction. We obtained also an average adsorption isotherm, which represents a combination of differently shaped pores, and shows robust jumps at certain values of the chemical potential as a consequence of the structures of the pores. Lastly, we compare our results with experimental data and also report the filling process of microscopic pores connected with mesopores. It is argued that these predictions are useful for researchers working on the enhanced…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTheoretical and Computational Physics · Phase Equilibria and Thermodynamics · Stochastic processes and statistical mechanics
