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Ion correlations drive charge overscreening and heterogeneous nucleation at solid-aqueous electrolyte interfaces.
Lee, Sang Soo; Koishi, Ayumi; Bourg, Ian C; Fenter, Paul.
  • Lee SS; Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, IL 60439; sslee@anl.gov akoishi@lbl.gov.
  • Koishi A; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544; sslee@anl.gov akoishi@lbl.gov.
  • Bourg IC; High Meadows Environmental Institute, Princeton University, Princeton, NJ 08544.
  • Fenter P; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544.
Proc Natl Acad Sci U S A ; 118(32)2021 08 10.
Article en En | MEDLINE | ID: mdl-34353907
ABSTRACT
Classical electrical double layer (EDL) models are foundational to the representation of atomistic structure and reactivity at charged interfaces. An important limitation to these models is their dependence on a mean-field approximation that is strictly valid for dilute aqueous solutions. Theoretical efforts to overcome this limitation are severely impeded by the lack of visualization of the structure over a wide range of ion concentration. Here, we report the salinity-dependent evolution of EDL structure at negatively charged mica-water interfaces, revealing transition from the Langmuir-type charge compensation in dilute salt solutions to nonclassical charge overscreening in highly concentrated solutions. The EDL structure in this overcharging regime is characterized by the development of both lateral positional correlation between adsorbed ions and vertical layering of alternating cations and anions reminiscent of the structures of strongly correlated ionic liquids. These EDL ions can spontaneously grow into nanocrystalline nuclei of ionic compounds at threshold ion concentrations that are significantly lower than the bulk solubility limit. These results shed light on the impact of ion cooperativity that drives heterogeneous nonclassical behaviors of the EDL in high-salinity conditions.
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