Real-time in-situ chemical sensing, sensor-based film thickness metrology, and process control in W CVD process

dc.contributor.authorXu, Yihengen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:10:56Z
dc.date.available2007-05-23T10:10:56Z
dc.date.issued2001en_US
dc.description.abstractA real-time in-situ sampling system has been implemented for chemical sensing in tungsten chemical vapor deposition process (W-CVD) using mass spectrometry. Sensor integration was realized to allow synchronous capture of equipment state signals and process signals (chemical information from mass spectrometry). <p>Wafer state metrology from integrated mass spectrometry signals of different gaseous chemical species in the reaction was established with an uncertainty of 2-7 percent depending on the conversion rate of the process, which is determined by the process chemistry and processing conditions. The mass spectrometry-based wafer state metrology obtained was applied to implement fault detection and W film thickness process control: run-to-run control in H2 reduction W-CVD and real time end point control in SiH4 reduction process. <p>The results demonstrate the benefit of combining real-time mass spectrometry sensor data with equipment state information for process control. The important generic issues regarding real-time in-situ chemical sensing using mass spectrometry in the context of a multi-component chemical reaction system like W-CVD have also been discussed. <p>The accomplishments of this research demonstrate the value of in-situ chemical sensing in complex manufacturing process systems and provide clear pathways toward advanced process control methodology.en_US
dc.format.extent1481802 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6212
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; PhD 2001-2en_US
dc.subjectSensor-Actuator Networksen_US
dc.titleReal-time in-situ chemical sensing, sensor-based film thickness metrology, and process control in W CVD processen_US
dc.typeDissertationen_US

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