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Exponential vs Gaussian Correlation Functions in the Characterization of Block Copolymer Grain Structure by Depolarized Light Scattering.
Wang, Xin; Thelen, Jacob L; Li, Xiuhong; Balsara, Nitash P; Garetz, Bruce A.
Afiliação
  • Wang X; Department of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, United States.
  • Thelen JL; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, United States.
  • Li X; Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.
  • Balsara NP; Department of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, United States.
  • Garetz BA; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California 94720, United States.
Macromolecules ; 57(1): 54-62, 2024 Jan 09.
Article em En | MEDLINE | ID: mdl-38222028
ABSTRACT
Block copolymer (BCP) grain structure affects the mechanical, optical, and electrical properties of BCP materials, making the accurate characterization of this grain structure an important goal. In this study, improved BCP grain parameters were obtained by employing an exponentially decaying correlation function within the ellipsoidal grain model, instead of the Gaussian correlation function that was used in previous work. The exponential correlation function provides a better fit to the experimental depolarized light scattering data, which outweighs the disadvantage that it requires numerical integration to obtain the model scattered intensity.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Macromolecules Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Macromolecules Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos