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Nonaffinity of Liquid Networks and Bicontinuous Mesophases.
Dimitriyev, Michael S; Feng, Xueyan; Thomas, Edwin L; Grason, Gregory M.
Afiliación
  • Dimitriyev MS; Department of Polymer Science and Engineering, University of Massachusetts, Amherst, Massachusetts 01003, USA.
  • Feng X; Department of Materials Science and Engineering, Texas A&M University, College Station, Texas 77843, USA.
  • Thomas EL; Department of Macromolecular Science, State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai, China 200438.
  • Grason GM; Department of Materials Science and Engineering, Texas A&M University, College Station, Texas 77843, USA.
Phys Rev Lett ; 132(21): 218201, 2024 May 24.
Article en En | MEDLINE | ID: mdl-38856277
ABSTRACT
Amphiphiles self-assemble into a variety of bicontinuous mesophases whose equilibrium structures take the form of high-symmetry cubic networks. Here, we show that the symmetry-breaking distortions in these systems give rise to anomalously large, nonaffine collective deformations, which we argue to be a generic consequence of "mass equilibration" within deformed networks. We propose and study a minimal "liquid network" model of bicontinuous networks, in which acubic distortions are modeled by the relaxation of residually stressed mechanical networks with constant-tension bonds. We show that nonaffinity is strongly dependent on the valency of the network as well as the degree of strain-softening or strain-stiffening tension in the bonds. Taking diblock copolymer melts as a model system, liquid network theory captures quantitative features of two bicontinuous phases based on comparison with self-consistent field theory predictions and direct experimental characterization of acubic distortions, which are likely to be pronounced in soft amphiphilic systems more generally.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Phys Rev Lett Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos