Other

Kla Tencor Corporation

Sensarray Corporation

Jeffrey M Parker

Wayne Glenn Renken

John B Pieper

Forrest Gilbert Yetter, Jr

Mark K Ekblad

James R Barnett, Jr

A sensor network collects time-series data from a process tool and supplies the data to an analysis system where pattern analysis techniques are used to identify structures and to monitor subsequent data based on analysis instructions or a composite model. Time-series data from multiple process runs are used to form a composite model of a data structure including variation. Comparison with the composite model gives an indication of tool health. A sensor network may have distributed memory for a more simplified configuration.

Determining process condition in substrate processing module

A process module tuning method characterizes a process module by gathering data using a process condition measuring device to measure process outputs while inputs are excited. The data is used to identify a dynamic process model. The dynamic process model is then be used to determine process input settings that will produce desired outputs. For multi-zone process modules, the interactions between zones may be modeled.

Process module tuning

A sensor network collects time-series data from a process tool and supplies the data to an analysis system where pattern analysis techniques are used to identify structures and to monitor subsequent data based on analysis instructions or a composite model. Time-series data from multiple process runs are used to form a composite model of a data structure including variation. Comparison with the composite model gives an indication of tool health. A sensor network may have distributed memory for network configuration.

Methods of configuring a sensor network

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Cedar Park, TX, United States of America

Jeffrey M Parker