U.S.-Switzerland Cooperative Research: Stochastic Simulation of Transport Phenomena

9312811 DePablo该奖项支持Juan DePablo博士和威斯康星大学的两名研究生与苏黎世瑞士联邦理工学院聚合物研究所的Hans C.Oettinger教授在理论化学工程研究方面进行合作。厄廷格教授是世界知名的随机方法数学方面的权威，他的机构拥有一些世界上速度最快的超级计算机。威斯康星大学化学工程系是世界上发展和应用传输现象理论解决化学工程问题的最重要的中心之一。这些互补的优势非常适合他们合作的目标，即开发随机方法，使其成为解决运输现象问题的标准工具。为此，他们将研究这些方法的数学基础，并将这些方法应用于广泛的工程应用，首先是不同类型流动停止后聚合物熔体的流变行为。他们将把他们的理论工作与苏黎世理工学院厄廷格教授的同事产生的实验数据进行比较。随机方法在解决复杂、多维问题中发挥着越来越重要的作用。它们最早被开发出来，现在被广泛应用于物理和数学中，但这种复杂的数学方法在化学工程中还没有得到充分的利用。与其他一些方法相比，随机方法非常简单，而且它们似乎可以解决一些传统分析方法无法解决的复杂问题。另一方面，它们并不总是优于数值方法。为了探索化学工程中的优势和实际应用，有必要进行大量的工作，如本文提出的那样。***

9312811 DePablo This award supports Dr. Juan DePablo and two graduate students of the University of Wisconsin to collaborate in theoretical chemical engineering research with Professor Hans C. Oettinger of the Polymer Institute of the Swiss Federal Institute of Technology in Zurich. Professor Oettinger is a world-renown authority in the mathematical aspects of stochastic methods, and his institution has some of the world's fastest supercomputers. The Department of Chemical Engineering at the University of Wisconsin is one of the world's foremost centers for the development and application of the theory of transport phenomena to the solution of chemical engineering problems. These complementary strengths are well suited to the goal of their collaboration, which is to develop stochastic methods to the point where they become a standard tool for the solution of problems in transport phenomena. They will do this by investigating the mathematical foundations of such methods and by applying these to a wide variety of engineering applications, beginning with the rheological behavior of polymer melts after cessation of different types of flows. They will compare their theoretical work with experimental data generated by colleagues of Professor Oettinger at ETH-Zurich. Stochastic methods are playing an increasingly important role in the solution of complex, multidimensional problems. They were first developed and are now widely used in physics and mathematics, but this sophisticated mathematical approach has not been fully exploited in chemical engineering. Stochastic methods are remarkably simple compared to some other methods, and they appear to work in some complex problems resistant to traditional analytical treatment. On the other hand, they are not always superior to numerical methods. Substantial work, such as that proposed here, is necessary to explore the advantages and practical applications in chemical engineering. ***