Department of Physics, University of Barcelona, Martí i Franquès 1, 08028, Barcelona, Spain.
Department of Chemistry, Saint Louis University, 3501 Laclede Avenue, St. Louis, Missouri 63103, USA.
Angew Chem Int Ed Engl. 2016 Oct 10;55(42):13267-13270. doi: 10.1002/anie.201607030.
Experiments with networks of discrete reactive bistable electrochemical elements organized in regular and nonregular tree networks are presented to confirm an alternative to the Turing mechanism for the formation of self-organized stationary patterns. The results show that the pattern formation can be described by the identification of domains that can be activated individually or in combinations. The method also enabled the localization of chemical reactions to network substructures and the identification of critical sites whose activation results in complete activation of the system. Although the experiments were performed with a specific nickel electrodissolution system, they reproduced all the salient dynamic behavior of a general network model with a single nonlinearity parameter. Thus, the considered pattern-formation mechanism is very robust, and similar behavior can be expected in other natural or engineered networked systems that exhibit, at least locally, a treelike structure.
呈现了用于离散反应双稳态电化学元件网络的实验，这些网络以规则和非规则树网络的形式组织，以验证形成自组织稳定模式的替代图灵机制。结果表明，可以通过识别可以单独或组合激活的域来描述模式形成。该方法还能够将化学反应定位到网络子结构，并识别关键位点，其激活导致系统完全激活。尽管这些实验是在特定的镍电溶解系统上进行的，但它们复制了具有单个非线性参数的通用网络模型的所有显著动态行为。因此，所考虑的模式形成机制非常稳健，并且可以预期在其他具有树状结构的自然或工程网络系统中表现出类似的行为，至少在局部表现出树状结构。
