Free energy landscapes for the thermodynamic understanding of adsorption-induced deformations and structural transitions in porous materials
David Bousquet, Fran\c{c}ois-Xavier Coudert, Anne Boutin

TL;DR
This paper introduces a novel Monte Carlo simulation method using Wang-Landau sampling to efficiently analyze adsorption-induced deformations and phase transitions in flexible porous materials, providing insights into their thermodynamic behavior.
Contribution
The paper presents a new non-Boltzmann Monte Carlo method for coupled adsorption and structural deformation analysis in porous materials, addressing limitations of existing simulation techniques.
Findings
Successfully applied to MIL-53 model, capturing adsorption and structural transitions.
Revealed free energy barriers explain hysteresis in adsorption.
Contrasted with traditional Boltzmann simulations, highlighting advantages.
Abstract
Soft porous crystals are flexible metal-organic frameworks that respond to physical stimuli such as temperature, pressure, and gas adsorption by large changes in their structure and unit cell volume. While they have attracted a lot of interest, molecular simulation methods that directly couple adsorption and large structural deformations in an efficient manner are still lacking. We propose here a new Monte Carlo simulation method based on non-Boltzmann sampling in (guest loading, volume) space using the Wang-Landau algorithm, and show that it can be used to fully characterize the adsorption properties and the material's response to adsorption at thermodynamic equilibrium. We showcase this new method on a simple model of the MIL-53 family of breathing materials, demonstrating its potential and contrasting it with the pitfalls of direct, Boltzmann simulations. We furthermore propose an…
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.
