Symmetry Breaking in Chemical Systems: Engineering Complexity Through Self‐Organization and Marangoni Flows

Far from equilibrium, chemical and biological systems can form complex patterns and waves through reaction-diffusion coupling. Fluid motion often interferes with these self-organized concentration patterns. This study examines the influence of Marangoni-driven flows inside a thin layer of fluid ascending the outer surfaces of hydrophilic obstacles on the spatio-temporal dynamics of chemical waves in the modified Belousov-Zhabotinsky reaction. These observations reveal that circular waves originate nearly simultaneously at the obstacles and propagate outward. In a covered setup, where evaporation is minimal, the wavefronts maintain their circular shape. However, in an uncovered setup with significant evaporation and resulting Marangoni flows, the interplay between surface tension-driven Marangoni flows and gravity destabilizes the wavefronts, creating distinctive flower-like patterns around the obstacles. Experiments further show that the number of petals increases linearly with obstacle diameter, though a minimum diameter is required for these instabilities to appear. Our complementary numerical analysis indicates that solutal Marangoni forces dominate thermal ones in this system. These findings demonstrate the potential to "engineer" specific wave patterns, offering a method to control and direct reaction dynamics. This capability is especially important for developing microfluidic devices requiring precise control over chemical wave propagation.

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Publication Details

Journal
Advanced Science
Published
2025-10-17
DOI
https://doi.org/10.1002/advs.202515672
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
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article

Symmetry Breaking in Chemical Systems: Engineering Complexity Through Self‐Organization and Marangoni Flows

Oliver Steinbock, Albert Bae, Christian Diddens, Detlef Lohse et al.
Advanced Science
Nonlinear Dynamics and Pattern Formation
article

Symmetry Breaking in Chemical Systems: Engineering Complexity Through Self‐Organization and Marangoni Flows

Oliver Steinbock, Albert Bae, Christian Diddens, Detlef Lohse, Azam Gholami, Nader Masmoudi, Binaya R. Paudyal, Mohamed R. Ali, Duarte Rocha, Sangram Gore
article en

Abstract

Far from equilibrium, chemical and biological systems can form complex patterns and waves through reaction-diffusion coupling. Fluid motion often interferes with these self-organized concentration patterns. This study examines the influence of Marangoni-driven flows inside a thin layer of fluid ascending the outer surfaces of hydrophilic obstacles on the spatio-temporal dynamics of chemical waves in the modified Belousov-Zhabotinsky reaction. These observations reveal that circular waves originate nearly simultaneously at the obstacles and propagate outward. In a covered setup, where evaporation is minimal, the wavefronts maintain their circular shape. However, in an uncovered setup with significant evaporation and resulting Marangoni flows, the interplay between surface tension-driven Marangoni flows and gravity destabilizes the wavefronts, creating distinctive flower-like patterns around the obstacles. Experiments further show that the number of petals increases linearly with obstacle diameter, though a minimum diameter is required for these instabilities to appear. Our complementary numerical analysis indicates that solutal Marangoni forces dominate thermal ones in this system. These findings demonstrate the potential to "engineer" specific wave patterns, offering a method to control and direct reaction dynamics. This capability is especially important for developing microfluidic devices requiring precise control over chemical wave propagation.

Advanced ScienceVol. 13(5)
Florida State University (US), New York University Abu Dhabi (AE), Courant Institute of Mathematical Sciences (US), Max Planck Institute for Dynamics and Self-Organization (DE), Max Planck University of Twente Center for Complex Fluid Dynamics (NL), New York University (US), Lewis & Clark College (US)
Openalex Percentile: Top 65%
Nonlinear Dynamics and Pattern Formation
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