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      A closer physico-chemical look to the Layer-by-Layer electrostatic self-assembly of polyelectrolyte multilayers

      , ,
      Advances in Colloid and Interface Science
      Elsevier BV

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          Self-assembled monolayers of thiolates on metals as a form of nanotechnology.

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            From supramolecular chemistry towards constitutional dynamic chemistry and adaptive chemistry.

            Supramolecular chemistry has developed over the last forty years as chemistry beyond the molecule. Starting with the investigation of the basis of molecular recognition, it has explored the implementation of molecular information in the programming of chemical systems towards self-organisation processes, that may occur either on the basis of design or with selection of their components. Supramolecular entities are by nature constitutionally dynamic by virtue of the lability of non-covalent interactions. Importing such features into molecular chemistry, through the introduction of reversible bonds into molecules, leads to the emergence of a constitutional dynamic chemistry, covering both the molecular and supramolecular levels. It considers chemical objects and systems capable of responding to external solicitations by modification of their constitution through component exchange or reorganisation. It thus opens the way towards an adaptive and evolutive chemistry, a further step towards the chemistry of complex matter.
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              Fuzzy Nanoassemblies: Toward Layered Polymeric Multicomposites

              G Decher (1998)

                Author and article information

                Journal
                Advances in Colloid and Interface Science
                Advances in Colloid and Interface Science
                Elsevier BV
                00018686
                August 2020
                August 2020
                : 282
                : 102197
                Article
                10.1016/j.cis.2020.102197
                32579951
                2b9868cf-1c5c-47bd-a358-f3155fb63f00
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

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