Presentation + Paper
22 February 2021 Process trace analytics for process development
Author Affiliations +
Abstract
Analyses of unit process trace data are critical components of modern semiconductor manufacturing process control. While process development environments share many characteristics with manufacturing environments, development tools and processes may not be suitable candidates for the deployment of traditional trace analytics such as FDC applications. Here we describe the adaptive use of large scale, proactive process trace monitoring and reactive root cause analytics for supporting development operations. The large-scale monitoring application we have deployed is comprehensive in scope and scale and focusses on monitoring the stability of a chamber over time. The reactive root cause application we have deployed automatically searches large trace data spaces to identify trace data elements with potentially interesting relationships to variations in on-wafer measurements and is designed to handle the small sample sizes encountered frequently in development operations.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert J. Baseman, Fateh A. Tipu, Sebastian U. Englemann, John M. Papalia, Matthew Sagianis, Scott DeVries, Danielle Durrant, Sebastian Naczas, Vinay Pai, and Shanti Pancharatnam "Process trace analytics for process development", Proc. SPIE 11615, Advanced Etch Technology and Process Integration for Nanopatterning X, 116150J (22 February 2021); https://doi.org/10.1117/12.2583645
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KEYWORDS
Analytics

Data processing

Manufacturing

Process control

Semiconducting wafers

Sensors

Metrology

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