Abstract
AbstractAlthough the Turing structures, or stationary reaction‐diffusion patterns, have received increasing attention in biology and chemistry, making such unusual patterns on inorganic solids is fundamentally challenging. We report a simple cation exchange approach to produce Turing‐type Ag2Se on CoSe2 nanobelts relied on diffusion‐driven instability. The resultant Turing‐type Ag2Se‐CoSe2 material is highly effective to catalyze the oxygen evolution reaction (OER) in alkaline electrolytes with an 84.5 % anodic energy efficiency. Electrochemical measurements show that the intrinsic OER activity correlates linearly with the length of Ag2Se‐CoSe2 interfaces, determining that such Turing‐type interfaces are more active sites for OER. Combing X‐ray absorption and computational simulations, we ascribe the excellent OER performance to the optimized adsorption energies for critical oxygen‐containing intermediates at the unconventional interfaces.
Highlights
Almost seven decades ago, Alan Turing predicted the chemical reaction-diffusion model, in which a pair of activator and inhibitor can interact and self-regulate to form spatiotemporal stationary patterns[1]
Stationary Turing patterns have been widely observed in living systems[12,13,15], such as diodon holocanthus
AgNO3 was added and the reaction solution was continuously stirred at room temperature for 4 hours
Summary
Alan Turing predicted the chemical reaction-diffusion model, in which a pair of activator and inhibitor can interact and self-regulate to form spatiotemporal stationary patterns[1]. This reaction-diffusion model has become a classic mechanism for morphogenesis in biological[2,3] (e.g., skin patterns of the pufferfish; Fig. 1a) and chemical systems[4]. In homogeneous media, most chemical reactions involve small molecules with similar or inappropriately differing diffusion coefficients[18,19] Such difficulty can, in principle, be overcome by introducing an unreactive reagent that reversibly binds the activator species, causing suitable differences in the diffusion coefficients[6,7,14]. There is no observation of stationary Turing patterns in inorganic solid nanomaterials has been reported far
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