Abstract: Scheme for detection and classification of semiconductor equipment faults. Sensor traces are monitored and processed to separate known abnormal operating conditions from unknown abnormal operating conditions. Feature engineering permits focus on relevant traces for a targeted feature. A machine learning model is built to detect and classify based on an initial classification set of anomalies. The machine learning model is continuously updated as more traces are processed and learned.

Abstract: Classifying wafers using Collaborative Learning. An initial wafer classification is determined by a rule-based model. A predicted wafer classification is determined by a machine learning model. Multiple users can manually review the classifications to confirm or modify, or to add user classifications. All of the classifications are input to the machine learning model to continuously update its scheme for detection and classification.

Abstract: Scheme for detection and classification of semiconductor equipment faults. Sensor traces are monitored and processed to separate known abnormal operating conditions from unknown abnormal operating conditions. Feature engineering permits focus on relevant traces for a targeted feature. A machine learning model is built to detect and classify based on an initial classification set of anomalies. The machine learning model is continuously updated as more traces are processed and learned.

Abstract: Methods and apparatus for spectrum-based endpointing. An endpointing method includes selecting two or more reference spectra. Each reference spectrum is a spectrum of white light reflected from a film of interest on a first substrate and has a thickness greater than a target thickness. The reference spectra is selected for particular spectra-based endpoint determination logic so that the target thickness is achieved when endpoint is called by applying the particular spectra-based endpoint logic. The method includes obtaining two or more current spectra. Each current spectrum is a spectrum of white light reflected from a film of interest on a second substrate when the film of interest is being subjected to a polishing step and has a current thickness that is greater than the target thickness. The method includes determining, for the second substrate, when an endpoint of the polishing step has been achieved.

Abstract: A utility wafer, more specifically, an utility wafer for simulating a workpiece in a semiconductor processing system. The utility wafer includes a first side, a second side and a peripheral edge wherein one or both edges of the peripheral edge are relieved to remove the otherwise sharp edge. In one embodiment, the peripheral edge is polished. The utility wafer is resistant to chipping, stress cracking and breakage when undergoing chemical mechanical planarization.

Abstract: A utility wafer, more specifically, an utility wafer for simulating a workpiece in a semiconductor processing system. The utility wafer includes a first side, a second side and a peripheral edge wherein one or both edges of the peripheral edge are relieved to remove the otherwise sharp edge. In one embodiment, the peripheral edge is polished. The utility wafer is resistant to chipping, stress cracking and breakage when undergoing chemical mechanical planarization.