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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A renormalization-group-inspired scale-splitting algorithm generates hierarchical formulas for dynamics in large dilute chemical reaction networks, illustrated on the formose reaction.
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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.
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Hierarchical models for large chemical reaction networks
A renormalization-group-inspired scale-splitting algorithm generates hierarchical formulas for dynamics in large dilute chemical reaction networks, illustrated on the formose reaction.