光刻
吞吐量
计算机科学
微电子
过程(计算)
软件
工艺变化
选择(遗传算法)
质量(理念)
算法
可靠性工程
计算机工程
工程类
人工智能
电信
哲学
物理
电气工程
认识论
光学
无线
程序设计语言
操作系统
作者
Aris Magklaras,Christos Gogos,Panagiotis Alefragis,Christos Valouxis,Alexios Birbas
标识
DOI:10.1109/seeda-cecnsm57760.2022.9932920
摘要
Photolithography process is one of the most critical in the semiconductor industry since it drives the Moore’s law and the advances in microelectronics in general. Hard constraints on precision, throughput and image quality require software control algorithms and high precision measurements. In such strict environment and requirements, where quality and performance goals need to be met, the optimal design of the measurements is more than necessary. In this paper we propose an Optimal Design of Experiments Algorithm that will enable the process to be able to obtain G-optimal result in a highly competitive time fraction that will ensure at the same time the throughput optimality of the photolithography machines.
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