2019
DOI: 10.1016/j.jcp.2018.10.027
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An immersed boundary method for simulating Newtonian vesicles in viscoelastic fluid

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Cited by 9 publications
(6 citation statements)
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“…2016; Seol et al. 2019), thermal fluctuations (Wortis, Jarić & Seifert 1997; Schneider, Jenkins & Webb 1984; Morse & Milner 1994; Michalet, Bensimon & Fourcade 1994; Seifert 1999; Finken et al. 2008; Ahmadpoor & Sharma 2016) and active internal stresses (Gao & Li 2017; Young, Shelley & Stein 2021) are among the many additional physical and biological features that have been considered, and a large body of literature is devoted to suspensions of many deformable particles such as cells and vesicles in flows (Kantsler, Segre & Steinberg 2008; Vlahovska, Podgorski & Misbah 2009; Veerapaneni et al.…”
Section: Introductionmentioning
confidence: 99%
“…2016; Seol et al. 2019), thermal fluctuations (Wortis, Jarić & Seifert 1997; Schneider, Jenkins & Webb 1984; Morse & Milner 1994; Michalet, Bensimon & Fourcade 1994; Seifert 1999; Finken et al. 2008; Ahmadpoor & Sharma 2016) and active internal stresses (Gao & Li 2017; Young, Shelley & Stein 2021) are among the many additional physical and biological features that have been considered, and a large body of literature is devoted to suspensions of many deformable particles such as cells and vesicles in flows (Kantsler, Segre & Steinberg 2008; Vlahovska, Podgorski & Misbah 2009; Veerapaneni et al.…”
Section: Introductionmentioning
confidence: 99%
“…Phase diagrams for the shapes and dynamics of vesicles in linear flows has now been mapped out by numerous authors (Deschamps et al 2009a,b;Zabusky et al 2011;Abreu et al 2014;Barthes-Biesel 2016). The roles of nearby boundaries , inertia (Salac & Miksis 2012), semi-permeability (Quaife et al 2021), enclosed particles (Veerapaneni et al 2011b), fluid viscoelasticity (Mushenheim et al 2016;Seol et al 2019), thermal fluctuations (Wortis et al 1997;Schneider et al 1984;Morse & Milner 1994;Michalet et al 1994;Seifert 1999;Finken et al 2008;Ahmadpoor & Sharma 2016), and active internal stresses (Gao & Li 2017;Young et al 2021) are among the many additional physical and biological features that have been considered, and a large body of literature is devoted to suspensions of many vesicles in flows (Kantsler et al 2008;Vlahovska et al 2009;Veerapaneni et al 2011a;Zhao et al 2012;Freund 2014;Kumar & Graham 2015;Raffiee et al 2019). The membrane viscosity itself, meanwhile, can be accessed using flow patterns in the membrane driven by viscous stresses and other physical forces (Staykova et al 2008;Honerkamp-Smith et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, vesicles play an important role in the expanding field of synthetic biology, for instance, for the delivery of drugs in the treatment of cancer [12,13] and the production of biomolecules [14]. It is therefore unquestionably of some biological importance to better understand the effect of complex hemorheology on the behaviors of the vesicles [15][16][17]. The aim of our work is to present a finite element framework suitable for studying the dynamics of a vesicle in a non-Newtonian power-law flow.…”
Section: Introductionmentioning
confidence: 99%
“…While interface tracking techniques (or Lagrangian) require moving mesh nodes to track the moving interface, interface-capturing approaches (or Eulerian) [24] are usually formulated on fixed meshes (which does not prevent the mesh adaptation) while mesh elements do not adhere to the moving interface; the latter, however, introduce an additional advection equation into the global coupled system to describe implicitly the free interface. Lagragian approaches include, for example, the classical finite element method with a mesh adapting to membrane discretization [25], the boundary element method using a Green kernel for transforming viscous volume integrals into surface integrals [26,27], and the immersed boundary method [15,28]. Eulerian approaches include, among others, the level set method [3,[29][30][31][32][33], the phase field approach [34], and the isogeometric phase field method [35].…”
Section: Introductionmentioning
confidence: 99%