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Capacitive deionization (CDI) is a novel technology for desalinating feed water because of its low cost and easy regeneration and in spite of its low desalination capacity and charge efficiency. One of the most promising methods to address these issues is replacing traditional carbon materials with materials that can store ions via faradaic reactions (here known as faradaic electrode materials). Faradaic electrode materials have three main advantages over carbon materials: high capacity, low energy loss, and selective separation; thus, faradaic materials have attracted the interest of many scholars. However, there has not been a comprehensive review of the advances in faradaic materials in desalination and ion separation. In this paper, we present an overview of three kinds of architectures of faradaic deionization cells and analyze their advantages and disadvantages. A variety of faradaic materials are introduced in terms of their structures, merits, drawbacks, and methods to address their deficiencies are discussed. The performance of faradaic electrode materials in desalination, the removal of heavy metals and ion separation is also presented. The issues related to performance are identified, and ways to address them are proposed. [ABSTRACT FROM AUTHOR]

This paper studies the group consensus problem in networks of multi-agent systems, in which the nonlinear dynamics of all agents are unknown and nonidentical. We assume that the unknown dynamics are linearly parameterized. Adaptive control method is adopted in the algorithm design. A novel algorithm is proposed for the multi-agent systems to reach group consensus via pinning control strategies, which only rely on the relative position information between neighboring agents. The stability and parameter convergence analysis are done based on Lyapunov theory, Barbalat's lemma, adaptive control theory and algebraic graph theory. Finally, a simulation example is given to validate our theoretical results. [ABSTRACT FROM AUTHOR]