首页> 外文期刊>International journal for uncertainty quantifications >UNCERTAINTY QUANTIFICATION FOR MAXWELL'S EQUATIONS USING STOCHASTIC COLLOCATION AND MODEL ORDER REDUCTION
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UNCERTAINTY QUANTIFICATION FOR MAXWELL'S EQUATIONS USING STOCHASTIC COLLOCATION AND MODEL ORDER REDUCTION

机译:随机集和模型阶约简的麦克斯韦方程组不确定性量化

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Modeling and simulation are indispensable for the design process of new semiconductor structures. Difficulties arise from shrinking structure sizes, increasing working frequencies, and uncertainties of materials and geometries. Therefore, we consider the time-harmonic Maxwell's equations for the simulation of a coplanar waveguide with uncertain material parameters. To analyze the uncertainty of the system, we use stochastic collocation with Stroud and sparse grid points. The results are compared to a Monte Carlo simulation. Both methods rely on repetitive runs of a deterministic solver. To accelerate this, we compute a reduced model by means of proper orthogonal decomposition to reduce the computational cost. The Monte Carlo simulation and the stochastic collocation are. both applied to the full and the reduced model. All results are compared concerning accuracy and computation time.
机译:建模和仿真对于新的半导体结构的设计过程是必不可少的。困难源于结构尺寸的缩小,工作频率的增加以及材料和几何形状的不确定性。因此,我们考虑了时谐麦克斯韦方程,用于模拟具有不确定材料参数的共面波导。为了分析系统的不确定性,我们使用随机搭配搭配Stroud和稀疏网格点。将结果与蒙特卡洛模拟进行比较。两种方法都依赖于确定性求解器的重复运行。为了加快速度,我们通过适当的正交分解来计算简化模型以减少计算成本。蒙特卡罗模拟和随机搭配是。都适用于完整模型和简化模型。比较所有结果的准确性和计算时间。

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