首页> 外文会议>Journal of Rare Earths vol.24 Spec. Issue March 2006 >Yield Improvement and Advanced Defect Control——Driving Forces for Modeling of Bulk Crystal Growth
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Yield Improvement and Advanced Defect Control——Driving Forces for Modeling of Bulk Crystal Growth

机译:产量提高和高级缺陷控制-用于体晶体生长的模型的驱动力

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Yield improvement and advanced defect control can be identified as the driving forces for modeling of industrial bulk crystal growth. Yield improvement is mainly achieved by upscaling of the whole crystal growth apparatus and increased processing windows with more tolerances for parameter variations. Advanced defect control means on one hand a reduction of the number of deficient crystal defects and on the other hand the formation of beneficial crystal defects with a uniform distribution and well defined concentrations in the whole crystal. This "defect engineering relates to the whole crystal growth process as well as the following cooling and optional annealing processes, respectively. These topics were illustrated in the paper by examples of modeling and experimental results of bulk growth of silicon (Si), gallium arsenide (GaAs), indium phosphide (InP) and calcium fluoride (CaF_2). These examples also involve the state of the art of modeling of the most important melt growth techniques, crystal pulling (Czochralski methods) and vertical gradient freeze (Bridgman-type methods ).
机译:可以将良率提高和先进的缺陷控制视为工业块状晶体生长建模的驱动力。产量的提高主要是通过扩大整个晶体生长设备的规模和增加加工窗口以及对参数变化的更大容忍度来实现的。先进的缺陷控制一方面意味着减少缺陷晶体缺陷的数量,另一方面意味着在整个晶体中形成具有均匀分布和明确定义的浓度的有益晶体缺陷。该“缺陷工程分别涉及整个晶体生长过程以及随后的冷却和可选的退火过程。本文通过硅(Si),砷化镓(砷化镓(GaAs),磷化铟(InP)和氟化钙(CaF_2),这些示例还涉及对最重要的熔体生长技术,拉晶(切克劳斯基方法)和垂直梯度冻结(布里奇曼型方法)建模的技术水平。

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