Statistical data assessment for optimization of the data preparation and manufacturing

Steffen F. Schulze; Patrick LaCour

doi:10.1117/12.485262

10 July 2003 Statistical data assessment for optimization of data preparation and manufacturing

Steffen F. Schulze, Patrick LaCour

Proceedings Volume 5042, Design and Process Integration for Microelectronic Manufacturing; (2003) https://doi.org/10.1117/12.485262
Event: Advanced Microelectronic Manufacturing, 2003, Santa Clara, CA, United States

Abstract

Progressing integration and system-on-chip approaches increase the complexity of advznce designs. Data preparation, mask and wafer manufacturing have to cope with these designs while achieving high throughput and tight specifications. One of the biggest variables in a production mask processing flow is the actual design being produced. Layout variability can invalidate process settings by introducing conditions outside of the range the process is calibrated for. Characterization of how parameters such as density distributions, CD distributions, minimium, and maximum CD impact yield will no doubt remain proprietary. However, the ability to characterize a layout by these geometric parameters as well as lithographic parameters is a common need. Gathering this knowledge prior to the processing can contribute significantly to the efficiency of applying process recipes once the correlation has been made. The capabilities of a statistical layout analysis are demonstrated and practical applications in mask data preparation and manufacturing are discussed.

Citation Download Citation

Steffen F. Schulze and Patrick LaCour "Statistical data assessment for optimization of data preparation and manufacturing", Proc. SPIE 5042, Design and Process Integration for Microelectronic Manufacturing, (10 July 2003); https://doi.org/10.1117/12.485262

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