A gradient-dynamics model for chemically driven running drops derives sustained self-propulsion from a maintained wettability contrast when distinct chemical potentials are imposed via chemostatting.
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Lubrication model shows solutal Marangoni and capillary forces attract same-composition binary droplets while thermal Marangoni repels them and solutal Marangoni drives chasing between different-composition droplets, corroborated by water-morpholine experiments.
Derives a corrected boundary condition that enforces exact total surfactant mass conservation in nonlinear reduced models of soluble-surfactant-laden falling films, resolving an inconsistency in prior surface transport reductions.
Data-driven equation discovery applied to liquid film flows identifies identifiability issues from multi-collinearity in monomial bases and early-time transients with large residuals.
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Gradient dynamics model for chemically driven running drops
A gradient-dynamics model for chemically driven running drops derives sustained self-propulsion from a maintained wettability contrast when distinct chemical potentials are imposed via chemostatting.