2017
DOI: 10.1039/c6sm01867j
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Ionic screening and dissociation are crucial for understanding chemical self-propulsion in polar solvents

Abstract: Polar solvents like water support the bulk dissociation of themselves and their solutes into ions, and the re-association of these ions into neutral molecules in a dynamic equilibrium, e.g., HO ⇌ H + HO. Using continuum theory, we study the influence of these association-dissociation reactions on the self-propulsion of colloids driven by surface chemical reactions (chemical swimmers). We find that association-dissociation reactions should have a strong influence on swimmers' behaviour, and therefore should be … Show more

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Cited by 118 publications
(174 citation statements)
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References 72 publications
(190 reference statements)
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“…In addition to our analytic work, we solve the full (nonlinear) equations using the finite element method (FEM); here we limit ourselves to the linear regime to verify our calculations. Using the COMSOL Multiphysics Modeling software, we obtain numerical solutions to the respective system of equations via the procedures outlined in [32,45]. A schematic of the simulation setup is shown in Fig.…”
Section: Finite Element Simulationsmentioning
confidence: 99%
See 4 more Smart Citations
“…In addition to our analytic work, we solve the full (nonlinear) equations using the finite element method (FEM); here we limit ourselves to the linear regime to verify our calculations. Using the COMSOL Multiphysics Modeling software, we obtain numerical solutions to the respective system of equations via the procedures outlined in [32,45]. A schematic of the simulation setup is shown in Fig.…”
Section: Finite Element Simulationsmentioning
confidence: 99%
“…(ii) For the self-electrophoretic swimmers, we consider the standard Au-Pt model of Refs. [26,[30][31][32], in which reactions at the surface produce and reduce an ionic species. This sets up a current of charged solutes and an electric field which induces motion of the swimmer which has a surface charge σ.…”
Section: Finite Element Simulationsmentioning
confidence: 99%
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