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Self-assembled surfactants on patterned surfaces: confinement and cooperative effects on aggregate morphology
Manaswee Suttipong1, Brian P Grady, Alberto Striolo
1Department of Chemical Engineering, University College London, London WC1E 6BT, UK. a.striolo@ucl.ac.uk.
Simulations reveal how surfactant self-assembly on patterned surfaces changes from flat monolayers to curved structures like hemi-cylinders and spheres due to lateral confinement effects on chemical heterogeneity.
Area of Science:
- Surface Science and Nanotechnology
- Computational Chemistry and Materials Science
Background:
- Surfactant adsorption and self-assembly are crucial for manufacturing nanostructured materials.
- Limited quantitative data exists on surfactant behavior on chemically heterogeneous surfaces.
- Understanding these interactions is key for designing advanced materials and coatings.
Purpose of the Study:
- To investigate surfactant adsorption and self-assembly on patterned flat surfaces with chemical heterogeneity.
- To quantify the effects of lateral confinement on surfactant aggregate morphology.
- To explore cooperative effects in surfactant assembly on surfaces with multiple adsorbing stripes.
Main Methods:
- Utilized equilibrium dissipative particle dynamics (DPD) simulations.
- Modeled adsorption of surfactants onto flat surfaces patterned with one or two stripes.
- Simulated interactions on stripes surrounded by a surfactant-repelling surface to control confinement.
Main Results:
- On wide stripes (homogeneous conditions), surfactants formed flat monolayers.
- Decreasing stripe width led to transitions from monolayers to hemi-cylinders, hemi-spheres, and individual surfactants.
- Cooperative effects were observed between closely spaced stripes (< one surfactant length), forming hemi-cylindrical shells and irregular structures.
Conclusions:
- Lateral confinement significantly alters surfactant aggregate morphology on patterned surfaces.
- The width and spacing of adsorbing stripes dictate the self-assembly outcome.
- Findings provide valuable insights for designing novel nanostructured materials and coatings for diverse applications.
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