Comprehensive dataset for hybrid mesoscopic modeling of adsorption rate dynamics and surface–fluid interactions

A new hybrid mesoscopic RC model has been developed to describe dynamic adsorption cycles on isothermal surfaces. The model has been rigorously validated through three independent campaigns: one inter-model comparison and two validations based on published scientific studies. This article consolidates the reference datasets employed in these validation exercises and provides the computational codes necessary to extract and calibrate the parameters of the proposed model. The results confirm the robustness and general applicability of the hybrid approach, establishing a reliable framework for the simulation and optimization of adsorption/desorption processes across diverse adsorbent systems.

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Publication Details

Journal
Data in Brief
Published
2025-12-23
DOI
https://doi.org/10.1016/j.dib.2025.112403
Citations
1
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
0.82
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article

Comprehensive dataset for hybrid mesoscopic modeling of adsorption rate dynamics and surface–fluid interactions

Mino Patricia Randrianarison, Damien FAKRA, David DYCZKO, Rijalalaina Rakotosaona et al.
1 citations
Data in Brief
Adsorption and biosorption for pollutant removal
0.82
article

Comprehensive dataset for hybrid mesoscopic modeling of adsorption rate dynamics and surface–fluid interactions

Mino Patricia Randrianarison, Damien FAKRA, David DYCZKO, Rijalalaina Rakotosaona, Marie Hanitriniaina Ratsimba
article en
1 citations

Abstract

A new hybrid mesoscopic RC model has been developed to describe dynamic adsorption cycles on isothermal surfaces. The model has been rigorously validated through three independent campaigns: one inter-model comparison and two validations based on published scientific studies. This article consolidates the reference datasets employed in these validation exercises and provides the computational codes necessary to extract and calibrate the parameters of the proposed model. The results confirm the robustness and general applicability of the hybrid approach, establishing a reliable framework for the simulation and optimization of adsorption/desorption processes across diverse adsorbent systems.

Data in BriefVol. 64
University of Antananarivo (MG), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Laboratoire d'Etude et de Recherche sur le Matériau Bois (FR), Université de Lorraine (FR)
Clean water and sanitation
Openalex Percentile: Top 19%
Adsorption and biosorption for pollutant removal
0.82
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