Reaction density functional theory (RxDFT), combining quantum DFT with classical DFT, has been employed to investigate the solvent effect and free energy profiles of SN2 reactions in aqueous solution.
Control of the microstructure
of microgels adsorbed on solid surfaces plays an essential role in
various fields, including lithography, optical sensing, and biocatalysis.
Here, we adopt an experimentally validated molecular dynamics simulation
approach to investigate the structural properties and deswelling dynamics
of thermoresponsive microgel capsules on solid substrates. Specifically,
by examining the interfacial elastocapillarity of the adsorbed microgel
capsules, we find that the poorly cross-linked microgel capsules (i.e.,
cross-link density ψ ≤ 0.0217) display a crossover adsorption
regime between polymeric wetting and colloidal adhesion, whereas the
highly cross-linked microgel capsules present only colloidal adhesion
adsorption. As the system temperature increases, the microgel capsules
progressively transform from the fully swollen state to the fully
collapsed state on the solid substrates, whereas the capsule architecture
remains. The adsorption regime of the microgel capsule is mutually
determined by the elastic deformation and surface attraction strength.
In addition, the elastic deformation is attributed to the internal
structure of the microgel capsule, which varies with the system temperature
and cross-link density. Aiming to identify the adsorption regime over
wider ranges of the control variables, a machine learning study on
an artificial neural network is further carried out and a three-dimensional
phase diagram of the adsorption regime and multiple control variables
is constructed, unraveling the comprehensive relationship among the
adsorption regime and the operational parameters.
Although ion dehydration in confined water is ubiquitous in many important processes concerning ion adsorption, transport and separation, and so forth, few theoretical models have been developed to unravel the mechanism of dehydration in confined space. Herein, a molecular model is proposed by weighing the molecular ori-
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