We are extending the existing features of Aspen, a powerful economic modeling tool, and introducing new features to simulate the role of confidence in economic activity. The new model is built from a collection of autonomous agents that represent households, firms, and other relevant entities like financial exchanges and governmental authorities. We simultaneously model several interrelated markets, including those for labor, products, stocks, and bonds. We also model economic tradeoffs, such as decisions of households and firms regarding spending, savings, and investment. In this paper, we review some of the basic principles and model components and describe our approach and development strategy for emulating consumer, investor, and business confidence. The model of confidence is explored within the context of economic disruptions, such as those resulting from disasters or terrorist events.
As the design for microsystems becomes increasingly more complex, the ability to predict and visualize thin-film structures during the design phase becomes correspondingly important. Virtual prototyping is definitely needed. However, accurately predicting the dimensions of the final product will require that the true effects of the surface micromachining processes be modeled. At Sandia, we are developing an integrated software package that links microsystem design with visualization and performance analysis. This integrated package consists of physical models that can generate the correct shape of micro-features. This paper describes our initial effort, which is twofold: (1) to build a generalized 3-D CAD package that interfaces between the microsystem design tools and analysis tools, and (2) to develop a modeling capability that predicts the general shape of fundamental micro-features from the fabrication process. A demonstration to illustrate how the ‘design-to-analysis’ infrastructure is being integrated will also be presented.
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