The influence of zeolite pore topology on the separation of carbon dioxide from methane

Pérez‐Botella, Eduardo; Palomino, Miguel; Báfero, Gabriel B.; Pastore, Heloise O.; Valencia, Susana; Rey, Fernando

doi:10.1016/j.jcou.2023.102490

Cited by 7 publications

(1 citation statement)

References 47 publications

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“…Parity plot representing the prediction of our descriptors for the Q st for CO 2 and CH 4 , respectively (b). Comparison of different experimental data for CO 2 ,,, and CH 4 and simulation results of Deng et al from the literature with our own MC simulation results for CO 2 .…”

Section: Resultsmentioning

confidence: 82%

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO₂ Gas Adsorption into Zeolites

Nieto-Draghi,

Creton,

Martin

et al. 2024

ACS Appl. Eng. Mater.

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The generalization of high-throughput synthesis has recently allowed the discovery of thousands of new porous materials, generating a large amount of information, with the development of specialized databases. Widespread access to databases enabled an increase in algorithms and models for property prediction and in silico design of materials. The structural information on materials still needs to be rationalized by the inclusion of descriptors to ease the characterization of solids. This is essential for in silico screening to potential applications based on machine learning (ML) approaches. Indeed, at the forefront of a real revolution in the selection and design of porous materials for many industrial applications, the use of appropriate descriptors to encode solid material properties (topology, porosity, and surface chemistry) is one of the fundamental aspects of the development of MLbased models. Our analysis of the literature reveals a lack of descriptors based on the potential energy surface (PES) of crystalline materials embedding crucial information such as the porosity, the topology, and the surface chemistry. In this work, we introduce new PESbased descriptors including the surface probability distribution of the local mean curvature (K H ), the electrostatic-PES distribution (σ e ), as well as the local electrostatic-potential gradient surface probability distribution (∇σ e ). Our descriptors allow the classification of zeolites as well as its characterization by self-containing standard morphological and topological information (pore diameter, tortuosity, surface chemistry, etc.). We illustrate their usage to generate accurate ML-based models of the isosteric heat of adsorption of CO 2 on purely siliceous zeolites of the IZA database and ion-exchanged zeolites in the function of the Si/Al ratio for the case of LTA topology.

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Section: Resultsmentioning

confidence: 82%

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO₂ Gas Adsorption into Zeolites

Nieto-Draghi,

Creton,

Martin

et al. 2024

ACS Appl. Eng. Mater.

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Molecular engineering of functional condensed matter-zeolite as a showcase

Yu,

Yan

2024

Introduction to Condensed Matter Chemistry

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Comparison at laboratory scale of different types and configurations of commercial molecular sieves for one-step direct upgrading of biogas produced by anaerobic digestion

Bonaccorsi,

Fazzino,

Fotia

et al. 2024

Fuel

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The influence of zeolite pore topology on the separation of carbon dioxide from methane

Cited by 7 publications

References 47 publications

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO₂ Gas Adsorption into Zeolites

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO₂ Gas Adsorption into Zeolites

Molecular engineering of functional condensed matter-zeolite as a showcase

Comparison at laboratory scale of different types and configurations of commercial molecular sieves for one-step direct upgrading of biogas produced by anaerobic digestion

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The influence of zeolite pore topology on the separation of carbon dioxide from methane

Cited by 7 publications

References 47 publications

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO2 Gas Adsorption into Zeolites

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO2 Gas Adsorption into Zeolites

Molecular engineering of functional condensed matter-zeolite as a showcase

Comparison at laboratory scale of different types and configurations of commercial molecular sieves for one-step direct upgrading of biogas produced by anaerobic digestion

Contact Info

Product

Resources

About

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO₂ Gas Adsorption into Zeolites

Potential Energy Surface-Based Descriptors for Nanoporous Materials and its Applications to Classification and CO₂ Gas Adsorption into Zeolites