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Cellular non-linear network model of microbial fuel cell

机译:微生物燃料电池的蜂窝非线性网络模型

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Abstract A cellular non-linear network (CNN) is a uniform regular array of locally connected continuous-state machines, or nodes, which update their states simultaneously in discrete time. A microbial fuel cell (MFC) is an electro-chemical reactor using the metabolism of bacteria to drive an electrical current. In a CNN model of the MFC, each node takes a vector of states which represent geometrical characteristics of the cell, like the electrodes or impermeable borders, and quantify measurable properties like bacterial population, charges produced and hydrogen ion concentrations. The model allows the study of integral reaction of the MFC, including temporal outputs, to spatial disturbances of the bacterial population and supply of nutrients. The model can also be used to evaluate inhomogeneous configurations of bacterial populations attached on the electrode biofilms. ]]>
机译:<![cdata [ 抽象 蜂窝非线性网络(CNN)是统一的本地连接的连续状态机器阵列,或节点,其同时更新其状态在离散时间。使用细菌的代谢来驱动电流的微生物燃料电池(MFC)是电力化合物。在MFC的CNN模型中,每个节点采用指示细胞的几何特征的状态的向量,如电极或不可渗透的边界,以及量化细菌群,产生的电荷和氢离子浓度等​​可测量的性质。该模型允许研究MFC,包括颞产量的整体反应,对细菌种群的空间障碍和营养供应。该模型还可用于评估附着在电极生物膜上的细菌种群的不均匀配置。 ]]>

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