Dynamical Models with Anomalous Ordering Kinetics: Applications to Alloys and Other Complex Systems

9815986 Chakraborty该奖项支持生长动力学研究。 PI将调查挫折或缺陷导致动态缓慢的模型。 Langevin型动力学模型的合金的有序-无序转变是伴随着结构畸变进行研究。 从电子结构理论计算的相互作用和对相关函数将被用来构建这些模型。 波动驱动的一阶跃，发生在二嵌段共聚物，也被认为是相关的一个大类的合金有序将进行研究。 数值模拟和场论技术相结合，使用的动力学行动形式主义将被用来调查在这些转变中发生的成核和生长过程。 将对受合金研究启发的受抑自旋模型进行量子蒙特卡罗模拟。 这项工作的目的是深入了解玻璃化转变的性质和玻璃中缓慢动力学和老化的起源。 该奖项支持多学科研究和教育，以研究在长时间尺度上发生的过程，并且对合金，聚合物和玻璃中发生的生长和相变非常重要。 这些研究包括过渡金属合金如Ni-V，Cu-Pd和Cu-Au的生长动力学和二嵌段共聚物的相变。 ***

9815986ChakrabortyThis award supports research in growth kinetics. The PI will investigate models where frustration or defects lead to slow dynamics. Langevin-type dynamical models of alloys where the order-disorder transition is accompanied by a structural distortion will be studied. Interactions and pair-correlation functions calculated from electronic structure theory will be used to construct these models. Fluctuation driven first order transitions that occur in diblock copolymers and are also believed to be relevant to ordering in a large class of alloys will be studied. A combination of numerical simulation and field theory techniques using the dynamical action formalism will be used to investigate nucleation and growth processes that occur in these transitions. Quantum Monte Carlo simulations of a frustrated spin model inspired by studies of alloys will be carried out. The aim of this work is to gain insight into the nature of the glass transition and the origin of slow dynamics and aging in glasses. %%%This award supports multidisciplinary research and education to study processes that occur on long time scales and are important to growth and phase transitions that occur in alloys, polymers, and glasses. These studies include the kinetics of growth in transition metal alloys such as Ni-V, Cu-Pd, and Cu-Au and phase transitions in diblock copolymers. ***