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A phase diagram of morphologies for anisotropic particles sculpted from emulsions.
Giso, Mathew Quinn; Zhao, Haoda; Spicer, Patrick Thomas; Atherton, Timothy James.
Afiliación
  • Giso MQ; Department of Physics and Astronomy, Tufts University, 574 Boston Ave., Medford, MA 02155, United States. Electronic address: mathew.giso@tufts.edu.
  • Zhao H; School of Chemical Engineering, University of New South Wales, Union Rd., Kensington, NSW 2033, Australia. Electronic address: haoda.zhao@unsw.edu.au.
  • Spicer PT; School of Chemical Engineering, University of New South Wales, Union Rd., Kensington, NSW 2033, Australia. Electronic address: p.spicer@unsw.edu.au.
  • Atherton TJ; Department of Physics and Astronomy, Tufts University, 574 Boston Ave., Medford, MA 02155, United States. Electronic address: timothy.atherton@tufts.edu.
J Colloid Interface Sci ; 605: 138-145, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34311308
ABSTRACT

HYPOTHESIS:

A micron-scale oil-in-water emulsion droplet frozen in the presence of surfactants can be induced to eject the crystallizing solid from its liquid precursor. This dynamic process produces highly elongated solids whose shape depends critically on the rate of crystallization and the interfacial properties of the tri-phase system. EXPERIMENT By systematically varying the surfactant concentration and cooling protocol, including quenching from different temperatures as well as directly controlling the cooling rate, we map out the space of possible particle morphologies as a function of experimental control parameters. These results are analyzed using a non-equilibrium Monte Carlo model where crystallization rate and interfacial energies can be specified explicitly.

FINDINGS:

Our model successfully predicts the geometry of the resulting particles as well as emergent phenomena including how the particle shape depends on nucleation site and deformation of the precursor droplet during crystallization.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article