Process integration and optimization of GaAs MESFET and MSM based opto-electronics integrated circuit (OEIC) using statistical experimental design techniques

J. Wang, C. Teng, J. Middleton, M. Feng
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引用次数: 1

Abstract

Focuses on developing a manufacturable, robust, ion implanted 0.6 /spl mu/m GaAs metal-semiconductor field-effect transistor (MESFET) and metal-semiconductor-metal (MSM) based optoelectronic integrated circuit process. Our approach is to represent the OEIC process as the integration of key process modules. Each process module has well defined design parameters and statistically significant transfer characteristics. The statistically significant transfer characteristics of each process module were obtained through design of experiment (DOE) and response surface modeling (RSM), through the use of both experimental data and calibrated process simulators. These transfer characteristics are used to determine the process optimum, considering design for manufacturability (DFM). The mapping of random process variations onto device variations, are realized by these transfer characteristics and used for statistical circuit design for manufacturability. Therefore, the process yield can be enhanced at both the circuit design and the process design levels. The process capability (Cp) is assessed by these modules' transfer characteristics, as well; thus manufacturability can be incorporated into the early stage of process development. As a result, high yield OEIC transmitter and receiver chips with data transmission rates above 1 Gbit/sec have been achieved.
基于统计实验设计技术的GaAs MESFET和MSM光电集成电路(OEIC)的工艺集成与优化
重点开发可制造的、稳健的、离子注入的0.6 /spl μ m GaAs金属半导体场效应晶体管(MESFET)和基于金属-半导体-金属(MSM)的光电集成电路工艺。我们的方法是将OEIC过程表示为关键过程模块的集成。每个工艺模块都有明确的设计参数和统计上显著的传递特性。通过实验设计(DOE)和响应面建模(RSM),通过使用实验数据和校准的过程模拟器,获得了每个过程模块的统计显著传递特性。在考虑可制造性设计(DFM)的情况下,利用这些传递特性来确定工艺优化。随机工艺变化到器件变化的映射是通过这些传递特性实现的,并用于可制造性的统计电路设计。因此,可以在电路设计和工艺设计两方面提高工艺良率。过程能力(Cp)也通过这些模块的传递特性来评估;因此,可制造性可以纳入工艺开发的早期阶段。从而实现了数据传输率在1gbit /sec以上的高良率OEIC收发芯片。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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