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Benoit Coasne

Researcher at University of Grenoble

Publications -  215
Citations -  9045

Benoit Coasne is an academic researcher from University of Grenoble. The author has contributed to research in topics: Adsorption & Porous medium. The author has an hindex of 49, co-authored 194 publications receiving 7369 citations. Previous affiliations of Benoit Coasne include Massachusetts Institute of Technology & University of Montpellier.

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Water adsorption in MOFs: fundamentals and applications

TL;DR: The state of the art of MOF stability in water, a crucial issue to many applications in which MOFs are promising candidates, is discussed here and different mechanisms of water adsorption in this class of materials are presented.
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Effects of confinement on freezing and melting.

TL;DR: Both simple and more complex adsorbates that are confined in various environments (slit or cylindrical pores and also disordered porous materials) are considered and how confinement affects the glass transition is addressed.
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Realistic molecular model of kerogen's nanostructure

TL;DR: A panel of realistic molecular models of mature and immature kerogens are proposed that provide a detailed picture of kerogen's nanostructure without considering the presence of clays and other minerals in shales and show that they predict essential features amenable to experimental validation.
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Subcontinuum mass transport of condensed hydrocarbons in nanoporous media

TL;DR: Molecular simulation and statistical mechanics are used to show that continuum description—Darcy's law—fails to predict transport in shales nanoporous matrix (kerogen), and the need for a change of paradigm from classical descriptions to nanofluidic transport is stressed.
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Validity of the t-plot method to assess microporosity in hierarchical micro/mesoporous materials.

TL;DR: The validity of the t-plot method is discussed in the case of hierarchical porous materials exhibiting both micro- and mesoporosities, and an abacus is given to correct the underestimated microporous volume by the t -plot method.