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Proof of concept for a nonadditive stochastic model of supercooled liquids.
Rosa, A C P; Brito, E; Santana, W S; Cruz, C.
Afiliación
  • Rosa ACP; Centro de Ciências Exatas e das Tecnologias, <a href="https://ror.org/03raeyn57">Universidade Federal do Oeste da Bahia</a>, Rua Bertioga, 892 Morada Nobre I, 47810-059 Barreiras, Bahia, Brazil.
  • Brito E; Centro de Ciências Exatas e das Tecnologias, <a href="https://ror.org/03raeyn57">Universidade Federal do Oeste da Bahia</a>, Rua Bertioga, 892 Morada Nobre I, 47810-059 Barreiras, Bahia, Brazil.
  • Santana WS; Centro de Ciências Exatas e das Tecnologias, <a href="https://ror.org/03raeyn57">Universidade Federal do Oeste da Bahia</a>, Rua Bertioga, 892 Morada Nobre I, 47810-059 Barreiras, Bahia, Brazil.
  • Cruz C; Centro de Ciências Exatas e das Tecnologias, <a href="https://ror.org/03raeyn57">Universidade Federal do Oeste da Bahia</a>, Rua Bertioga, 892 Morada Nobre I, 47810-059 Barreiras, Bahia, Brazil.
Phys Rev E ; 110(1-1): 014128, 2024 Jul.
Article en En | MEDLINE | ID: mdl-39161026
ABSTRACT
The recently proposed nonadditive stochastic model (NSM) offers a coherent physical interpretation for diffusive phenomena in glass-forming systems. This model presents nonexponential relationships between viscosity, activation energy, and temperature, characterizing the non-Arrhenius behavior observed in supercooled liquids. In this work, we fit the NSM viscosity equation to experimental temperature-dependent viscosity data corresponding to 25 glass-forming liquids and compare the fit parameters with those obtained using the Vogel-Fulcher-Tammann (VFT), Avramov-Milchev (AM), and Mauro-Yue-Ellison-Gupta-Allan (MYEGA) models. The results demonstrate that the NSM provides an effective fitting equation for modeling viscosity experimental data in comparison with other established models (VFT, AM, and MYEGA), characterizing the activation energy in fragile liquids, presenting a reliable indicator of the degree of fragility of the glass-forming liquids.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2024 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Phys Rev E Año: 2024 Tipo del documento: Article País de afiliación: Brasil