Radiation Assisted Materials Performance

这项研究旨在了解控制液-固界面反应系统动态行为的基本过程，其中腐蚀是最复杂的。腐蚀是一种电化学过程，不仅涉及电子的转移，还涉及金属阳离子的转移。金属阳离子的转移可能涉及溶解、水解和氧化物的形成。随着腐蚀的发展，金属氧化反应的性质和速度可能会改变，溶液和氧化物相的电化学性质和物理性质可能会发生变化。这些变化可以建立自我催化循环和系统反馈。对于控制腐蚀非线性动力学的基本过程，目前还没有任何全面的理论或机理上的了解，因此很难开发出能够预测强系统反馈条件下腐蚀过程演化的模型。要做到这一点，关键是能够分离腐蚀过程中涉及的基本过程。拟议的研究将包括实验研究和模型开发研究，以确定基本进程的驱动力和动力，并确定这些进程之间的反馈如何发展。这项研究将使建立腐蚀动态相图成为可能，该相图包含作为溶液性质函数的稳态、双稳态和振荡区域的类型和性质。它还将使数学模型的发展，能够预测稳定性的变化，或周期性或混沌行为的出现，作为溶液条件的函数。这些初始模型将被用作开发实用腐蚀模型的一个组成部分。拟议的研究有可能从根本上改变我们模拟界面电荷转移过程的方式，例如腐蚀，据估计，全球每年要花费2.5万亿美元。腐蚀预测中现存的两大挑战是在实际使用环境中对腐蚀进行建模，在这种环境中直接测量可能是不可能的，以及使用以可量化的方式加速腐蚀的技术来模拟长时间的腐蚀。这项研究解决了这两个问题，考虑了以前在腐蚀过程中从未考虑过的非线性动态过程。这项研究将建立一种新的模式来模拟腐蚀和界面系统，这将对社会产生广泛的好处。

The proposed research aims at understanding the fundamental processes governing the dynamic behaviour of liquid-solid interfacial reaction systems, of which corrosion is the most complex. Corrosion is an electrochemical process involving transfer of not only electrons but also metal cations. The transfer of a metal cation can involve dissolution, hydrolysis and oxide formation. As corrosion progresses the nature and the rates of the metal oxidation reactions may change, and the electrochemical and physical properties of the solution and oxide phases may evolve. These changes can establish autocatalytic cycles and systemic feedback. There is not yet any comprehensive theory or mechanistic understanding of the fundamental processes that govern the nonlinear dynamics of corrosion.Development of models that can predict the evolution of corrosion processes under conditions where strong systemic feedback can develop is very difficult. To do so, it is critical to be able to decouple the elementary processes involved in corrosion. The proposed research will include both experimental and model development studies to establish the driving forces and dynamics for the elementary processes and to determine how feedback among these processes may develop. The research will enable establishment of a corrosion dynamic phase diagram containing the type and nature of steady states, bistable states and oscillation regions as a function of solution properties. It will also enable development of mathematical models that can predict changes in stability, or the appearance of periodic or chaotic behaviour, as a function of solution conditions. These initial models will be used as a component in the development of practical corrosion models.The proposed research has the potential to radically transform how we model interfacial charge transfer processes such as corrosion, which is estimated to cost US$2.5 trillion per year globally. Two major extant challenges in corrosion prediction are modelling corrosion in actual service environments where direct measurement may be impossible, and simulating long periods of corrosion using techniques that accelerate it in a quantifiable way. This research addresses both of these issues, taking into account non-linear dynamic processes that have never before been considered in corrosion processes. This research will establish a new paradigm for modelling corrosion, and interfacial systems in general, that will have wide-reaching benefits for society.