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An plasma etching modeling method based on experiment result

机译:基于实验结果的等离子刻蚀建模方法

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In plasma etching process, various physical and chemical mechanisms affect the feature profile evolution. The relative importance of these mechanisms is uncertain. In order to study the physics mechanism of surface etching process, a plasma etching modeling method is proposed, which combines optimization technique with simulation. This paper developed a cumulative GA with evaluated probability to solve this expensive optimization problem. The experimental results illustrate that simulating result according to new etching model coming from the proposed method is very similar with the experiment. It also proves that the proposed method is effective and can be used to model etching model.
机译:在等离子蚀刻过程中,各种物理和化学机制都会影响特征轮廓的演变。这些机制的相对重要性尚不确定。为了研究表面刻蚀过程的物理机理,提出了一种将优化技术与仿真相结合的等离子刻蚀建模方法。本文开发了一种具有估计概率的累积遗传算法来解决这一昂贵的优化问题。实验结果表明,所提出的方法根据新的刻蚀模型进行的仿真结果与实验非常相似。这也证明了该方法是有效的,可用于刻蚀模型的建模。

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