Chemical Connectomics: Nonlinear Dynamics of Electrochemical Reaction Networks

有了这个奖项，化学系的化学结构，动力学和机制（CSDM-A）计划正在资助Istvan Z教授。圣刘易斯大学的Kiss研究复杂的、远离平衡的电荷转移化学反应，这些反应发生在由电化学设备的动态环境施加的网络上（例如，传感器和电池）。远离平衡态系统的组织原理的识别和实验表征在物理、化学和生物系统中有着广泛的应用。调查是相关的需要的原电池和电解电池的工业应用。振荡电化学介质测试同步和网络动力学理论，这些理论在癫痫发作的昼夜节律和超同步神经放电中具有重要意义。 该项目包括通过“非线性角”针对初中、高中和大学学生以及公众的外联活动，并传达非线性科学的新科学概念和非生物系统复杂智能行为的出现。Istvan Kiss教授和他的研究小组提出了三个具体目标，这些目标基于利用多电极的分析化学中的基本科学问题，电池和电解池的设计细节以及能量分配网络：（1）验证多电极微流控池中涌现的电化学网络能够描述复杂动力学现象的假设，（2）探索阴极-阳极多电极中的自组织时空行为，以及（3）探索在由电阻界面促进的设计网络上发生的电化学反应的图案形成。多功能涌现网络和工程网络的构建为化学反应的发生提供了一个新的几何空间。网络拓扑的提取有助于建立化学连接组学，这是动态环境中连接反应的科学。

With this award, the Chemical Structure, Dynamics and Mechanisms (CSDM-A) Program of the Division of Chemistry is funding Professor Istvan Z. Kiss of Saint Louis University to investigate complex, far-from-equilibrium charge transfer chemical reactions that take place on networks imposed by dynamic environments of electrochemical devices (e.g., sensors and batteries). The identification of organizing principles and experimental characterization of far-from-equilibrium systems have broad applications in physical, chemical, and biological systems. The investigation is relevant to needs of industrial applications of galvanic and electrolytic cells. The oscillatory electrochemical media test theories on synchronization and network dynamics that have importance in circadian rhythms and hypersynchronous neural discharges in epileptic seizures. The project includes outreach activities aimed at middle school, high school and college students and the general public through the "Nonlinear Corner," and conveys novel scientific notions of nonlinear science and the emergence of complex, intelligent behavior of abiotic systems. Professor Istvan Kiss and his research group address three specific aims that are based on fundamental scientific problems in analytical chemistry utilizing multi-electrodes, design specifics of batteries and electrolysis cells, and energy distribution networks: (1) Test the hypothesis that emergent electrochemical networks in multi-electrode microfluidic flow cells can describe the complex dynamical phenomena, (2) explore self-organized spatio-temporal behavior in cathode-anode multi-electrodes, and (3) explore the pattern formation of electrochemical reactions that take place on a designed network facilitated by a resistance interface. The construction of versatile emergent and engineered networks provides a new geometrical space for the chemical reactions to take place. The extraction of network topology contributes to the establishment of Chemical Connectomics, the science of connected reactions in dynamic environments.