Applied Materials, Inc.

Other

Jed Davidow

Moshe Sarfaty

Dimitris Lymberopoulos

Lalitha S Balasubramhanya

A method and apparatus for monitoring a process by employing principal component analysis are provided. Correlated attributes are measured for the process to be monitored (the production process). Principal component analysis then is performed on the measured correlated attributes so as to generate at least one production principal component; and the at least one production principal component is compared to a principal component associated with a calibration process (a calibration principal component). The calibration principal component is obtained by measuring correlated attributes of a calibration process, and by performing principal component analysis on the measured correlated attributes so as to generate at least one principal component. A principal component having a feature indicative of at least one of a desired process state, process event and chamber state then is identified and is designated as the calibration principal component.

Method and apparatus for monitoring a process by employing principal component analysis

A process for controlling a substrate processing operation such as a plasma etch operation. One embodiment of the method of the present invention forms a plasma within a substrate processing chamber to etch a wafer disposed within the chamber. The plasma emission is used by the process as a broadband light source. During the plasma etch process, a plurality of wavelengths of radiation reflected from the surface of the wafer being etched are measured with a spectrometer. These measurements are then compared using pattern recognition techniques to previous measurements taken during a previous plasma etch operation. Certain embodiments of the invention use principal component analysis (PCA) techniques to perform pattern recognition while other embodiment use programmed neural net pattern recognition techniques.

Film thickness control using spectral interferometry

A method and apparatus for monitoring process state using plasma attributes are provided. Electromagnetic emissions generated by a plasma are collected, and a detection signal having at least one frequency component is generated based on the intensity of the collected electromagnetic emissions; or, the RF power delivered to a wafer pedestal is monitored and serves as the detection signal. The magnitude of at least one frequency component of the detection signal then is monitored over time. By monitoring the magnitude of at least one frequency component of the detection signal over time, a characteristic fingerprint of the plasma process is obtained. Features within the characteristic fingerprint provide process state information, process event information and process chamber information. In general, any chemical reaction having an attribute that varies with reaction rate may be similarly monitored.

Method and apparatus for monitoring the process state of a semiconductor device fabrication process

A method and apparatus for monitoring a process by employing principal component analysis are provided. Correlated attributes are measured for the process to be monitored (the production process). Principal component analysis then is performed on the measured correlated attributes so as to generate at least one production principal component; and the at least one production principal component is compared to a principal component associated with a calibration process (a calibration principal component). The calibration principal component is obtained by measuring correlated attributes of a calibration process, and by performing principal component analysis on the measured correlated attributes so as to generate at least one principal component. A principal component having a feature indicative of at least one of a desired process state, process event and chamber state then is identified and is designated as the calibration principal component. Preferably the at least one production principal component is compared to the calibration principal component by computing the inner product of the calibration and production principal components.

Growing community of inventors

Santa Clara, CA, United States of America

Jed Davidow