Guillaume Maurin

University of Montpellier

France

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Articles (11)

Year:

2025

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2025

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2025

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2025

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2025

Machine learning potential is required to accurately describe the interactions between the challenging H 2 molecules and metal organic frameworks containing open metal sites.

Year:

2024

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2024

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2024

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2024

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2024

Year:

2024

Collaborators (3)

Sven Rogge

Associate Research Professor

Ghent University

BELGIUM

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Stefan Wuttke

Ikerbasque Research Professor

SPAIN

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Marco Daturi

Professor of Physical Chemistry

Université de Caen Normandie

FRANCE

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Guillaume Maurin

Research Interests

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Articles (11)

Artificial Intelligence Paradigms for Next-Generation Metal–Organic Framework Research

Tunability of Carbon Nitrides for Enhanced Photocatalytic Oxygen Evolution Reaction

Evaluating the Performance of a Microporous Ti Bisphosphonate MOF for Postcombustion Carbon Capture by Vacuum Pressure Swing Adsorption

Effective Separation of Acetylene/Ethylene by the Mesoporous MIL-100(Cr) MOF

Negative gas adsorption transitions and pressure amplification phenomena in porous frameworks

Machine learning potential for modelling H<sub>2</sub> adsorption/diffusion in MOFs with open metal sites

Metal-organic frameworks based on pyrazolates for the selective and efficient capture of formaldehyde

Appending Polyamines on Metal–Organic Frameworks as an Efficient Strategy for Selective Removal of H2S under Humid Conditions

Rubbery organic frameworks (ROFs) toward ultrapermeable CO 2 -selective membranes

Cover Feature: Molecular‐Level Insight into the Chlorofluorocarbons Adsorption by Defective Covalent Organic Polymers (ChemPhysChem 20/2024)

Molecular‐Level Insight into the Chlorofluorocarbons Adsorption by Defective Covalent Organic Polymers

Collaborators (3)

Sven Rogge

Stefan Wuttke

Marco Daturi

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