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This review presents the state of the art on the theory, molecular simulation, and coarse-grained strategies applied to the transport of gases and liquids in nanoporous materials (pore size in the range 1 - 100 nm). Recent advances in the understanding of molecular diffusion and transport under thermodynamic gradients in nanoporous adsorbents are discussed with special emphasis on small molecules in zeolites, active carbons, metal organic frameworks, but also in nanoporous materials with larger pores such as ordered and disordered mesoporous oxides. We provide a description of the fundamentals and principles of the different atom-scale and mesoscopic methods as well as of the theoretical formalisms that can be used to address such an important problem. Special attention is paid to the investigation of different molecular transport coefficients - including the so-called self, collective and transport diffusivities - but also to the determination of free energy barriers and their role in overall adsorption/separation process rates. We also introduce other available approaches such as hierarchical simulations and upscaling strategies.

In the field of nanoconfined fluids, there are striking examples of deformation/transport coupling in which mechanical solicitation of the confining host and dynamics of the confined fluid impact each other. While this intriguing behavior can be potentially used for practical applications (e.g. energy storage, phase separation, catalysis), the underlying mechanisms remain to be understood as they challenge existing frameworks. Here, using molecular simulations analyzed through concepts inherent to interfacial fluids, we investigate fluid flow in compliant nanoporous materials subjected to external mechanical stresses. We show that the pore mechanical properties significantly affect fluid flow as they lead to significant pore deformations and different density layering at the interface accounted for by invoking interfacial viscous effects. Despite such poromechanical effects, we show that the thermodynamic properties (i.e. adsorption) can be linked consistently to Darcy's law for the permeability by invoking a pore size definition based on the concept of Gibbs' dividing surface. In particular, regardless of the pore stiffness and applied external stress, all data can be rationalized by accounting for the fluid viscosity and slippage at the interface independent of a specific pore size definition. Using such a formalism, we establish that the intimate relation - derived using the linear response theory - between collective diffusivity and hydraulic permeability remains valid. This allows for linking consistently microscopic dynamics experiments and permeability experiments on fluid flow in compliant nanoporous materials., Comment: 50 pages total, 6 figures in the main text + 10 figures in the supporting information

Beyond well-documented confinement and surface effects arising from the large internal surface and severely confining porosity of nanoporous hosts, the transport of nanoconfined fluids remains puzzling by many aspects. With striking examples such as memory, \textit{i.e.} non-viscous, effects, intermittent dynamics and surface barriers, the dynamics of fluids in nanoconfinement challenges classical formalisms (\textit{e.g.} random walk, viscous/advective transport) -- especially for molecular pore sizes. In this context, while molecular frameworks such as intermittent brownian motion, free volume theory and surface diffusion are available to describe the self-diffusion of a molecularly confined fluid, a microscopic theory for the collective diffusion (\textit{i.e.} permeability) -- which characterizes the flow induced by a thermodynamic gradient -- is lacking. Here, to fill this knowledge gap, we invoke the concept of `De Gennes narrowing' which relates the wavevector-dependent collective diffusivity $D_0(q)$ to the fluid structure factor $S(q)$. First, using molecular simulation for a simple yet representative fluid confined in a prototypical solid (zeolite), we unravel an essential coupling between the wavevector-dependent collective diffusivity and the structural ordering imposed on the fluid by the crystalline nanoporous host. Second, despite this complex interplay with marked Bragg peaks in the fluid structure, the fluid collective dynamics is shown to be accurately described through De Gennes narrowing. Moreover, in contrast to the bulk fluid, departure from De Gennes narrowing for the confined fluid in the macroscopic limit remains small as the fluid/solid interactions in severe confinement screen collective effects and, hence, weaken the wavevector dependence of collective transport.

With increasing concerns over climate change, scientists must imperatively acknowledge their share in CO2 emissions. Considering the large emissions associated with scientific traveling - especially international conferences - initiatives to mitigate such impact are blooming. With the COVID-19 pandemic shattering our notion of private/professional interactions, the moment should be seized to reinvent science conferences and collaborations with a model respectful of the environment. Yet, despite efforts to reduce the footprint of conferences, there is a lack of a robust approach based on reliable numbers (emissions, carbon offsetting/removals, etc.) to accompany this shift of paradigm. Here, considering a representative scientific society, the International Adsorption Society, we report on a case study of the problem: making conferences carbon neutral while respecting the needs of scientists. We first provide a quantitative analysis of the CO2 emissions for the IAS conference in 2022 related to accommodation, catering, flights, etc. Second, we conduct two surveys probing our community view on the carbon footprint of our activities. These surveys mirror each other, and were distributed two years before and in the aftermath of our triennial conference (also corresponding to pre/post COVID times). By combining the different parts, we propose ambitious recommendations to shape the future of conferences.

The Gibbs-Thomson (GT) equation describes the shift of the crystallization temperature for a confined fluid with respect to the bulk as a function of pore size. While this century old relation is successfully used to analyze experiments, its derivations found in the literature often rely on nucleation theory arguments (i.e. kinetics instead of thermodynamics) or fail to state their assumptions, therefore leading to similar but different expressions. Here, we revisit the derivation of the GT equation to clarify the system definition, corresponding thermodynamic ensemble, and assumptions made along the way. We also discuss the role of the thermodynamic conditions in the external reservoir on the final result. We then turn to numerical simulations of a model system to compute independently the various terms entering in the GT equation, and compare the predictions of the latter with the melting temperatures determined under confinement by means of hyper-parallel tempering grand canonical Monte Carlo simulations. We highlight some difficulties related to the sampling of crystallization under confinement in simulations. Overall, despite its limitations, the GT equation may provide an interesting alternative route to predict the melting temperature in large pores, using molecular simulations to evaluate the relevant quantities entering in this equation. This approach could for example be used to investigate the nanoscale capillary freezing of ionic liquids recently observed experimentally between the tip of an Atomic Force Microscope and a substrate., Comment: 14 pages, 9 figures, contains appendix

The microscopic mechanisms involved in the formation/dissociation of methane hydrate confined at the nanometer scale are unraveled using advanced molecular modeling techniques combined with a mesoscale thermodynamic approach. By means of atom-scale simulations probing coexistence upon confinement and free energy calculations, phase stability of confined methane hydrate is shown to be restricted to a narrower temperature and pressure domain than its bulk counterpart. The melting point depression at a given pressure, which is consistent with available experimental data, is shown to be quantitatively described using the Gibbs--Thomson formalism if used with accurate estimates for the pore/liquid and pore/hydrate surface tensions. The metastability barrier upon hydrate formation and dissociation is found to decrease upon confinement, therefore providing a molecular scale picture for the faster kinetics observed in experiments on confined gas hydrates. By considering different formation mechanisms -- bulk homogeneous nucleation, external surface nucleation, and confined nucleation within the porosity -- we identify a crossover in the nucleation process; the critical nucleus formed in the pore corresponds either to a hemispherical cap or a bridge nucleus depending on temperature, contact angle, and pore size. Using the classical nucleation theory, for both mechanisms, the typical induction time is shown to scale with the pore surface to volume ratio and, hence, the reciprocal pore size. These findings for the critical nucleus and nucleation rate associated to such complex transitions provide a mean to rationalize and predict methane hydrate formation in any porous media from simple thermodynamic data.

Of relevance to energy storage, electrochemistry and catalysis, ionic and dipolar liquids display unexpected behaviours-especially in confinement. Beyond adsorption, over-screening and crowding effects, experiments have highlighted novel phenomena, such as unconventional screening and the impact of the electronic nature-metallic versus insulating - of the confining surface. Such behaviours, which challenge existing frameworks, highlight the need for tools to fully embrace the properties of confined liquids. Here we introduce a novel approach that involves electronic screening while capturing molecular aspects of interfacial fluids. Although available strategies consider perfect metal or insulator surfaces, we build on the Thomas-Fermi formalism to develop an effective approach that deals with any imperfect metal between these asymptotes. Our approach describes electrostatic interactions within the metal through a 'virtual' Thomas-Fermi fluid of charged particles, whose Debye length sets the screening length $\lambda$. We show that this method captures the electrostatic interaction decay and electrochemical behaviour on varying $\lambda$. By applying this strategy to an ionic liquid, we unveil a wetting transition on switching from insulating to metallic conditions.

A novel mechanical approach is developed to explore by means of atom-scale simulation the concept of line tension at a solid-liquid-vapor contact line as well as its dependence on temperature, confinement, and solid/fluid interactions. More precisely, by estimating the stresses exerted along and normal to a straight contact line formed within a partially wet pore, the line tension can be estimated while avoiding the pitfalls inherent to the geometrical scaling methodology based on hemispherical drops. The line tension for Lennard-Jones fluids is found to follow a generic behavior with temperature and chemical potential effects that are all included in a simple contact angle parameterization. Former discrepancies between theoretical modeling and molecular simulation are resolved, and the line tension concept is shown to be robust down to molecular confinements. The same qualitative behavior is observed for water but the line tension at the wetting transition diverges or converges towards a finite value depending on the range of the solid/fluid interactions at play., Comment: 8 pages, 7 figures

The microalga Chlamydomonas Reinhardtii (CR) is used here as a model system to study the effect of complex environments on the swimming of micro-organisms. Its motion can be modelled by a run and tumble mechanism so that it describes a persistent random walk from which we can extract an effective diffusion coefficient for the large-time dynamics. In our experiments, the complex medium consists in a series of pillars that are designed in a regular lattice using soft lithography microfabrication. The cells are then introduced in the lattice, and their trajectories within the pillars are tracked and analyzed. The effect of the complex medium on the swimming behaviour of microswimmers is analyzed through the measure of relevant statistical observables. In particular, the mean correlation time of direction and the effective diffusion coefficient are shown to decrease when increasing the density of pillars. This provides some bases of understanding for active matter in complex environments.