Abstract: A cool cluster comprises one or more transfer chambers; a plurality of process chambers connected to the one or more transfer chambers; and a computing device of the tool cluster. The computing device is to receive first measurements generated by sensors of a first process chamber during or after a process is performed within the first process chamber; determine that the first process chamber is due for maintenance based on processing the first measurements using a first trained machine learning model; after maintenance has been performed on the first process chamber, receive second measurements generated by the sensors during or after a seasoning process is performed within the first process chamber; and determine that the first process chamber is ready to be brought back into service based on processing the second measurements using a second trained machine learning model.

Abstract: Systems, methods, and computer-readable mediums for monitoring temperature of a substrate are described. Spectroscopic measurements are performed on a surface of the substrate using a metrology tool integrated with a processing tool. The measurements may be used to determine that the substrate has cooled below a threshold temperature using the spectroscopic measurements.

Abstract: A cool cluster comprises one or more transfer chambers; a plurality of process chambers connected to the one or more transfer chambers; and a computing device of the tool cluster. The computing device is to receive first measurements generated by sensors of a first process chamber during or after a process is performed within the first process chamber; determine that the first process chamber is due for maintenance based on processing the first measurements using a first trained machine learning model; after maintenance has been performed on the first process chamber, receive second measurements generated by the sensors during or after a seasoning process is performed within the first process chamber; and determine that the first process chamber is ready to be brought back into service based on processing the second measurements using a second trained machine learning model.

Abstract: A substrate processing system comprises one or more transfer chambers; a plurality of process chambers connected to the one or more transfer chambers; and a computing device connected to each of the plurality of process chambers. The computing device is to receive first measurements generated by sensors of a first process chamber during or after a process is performed within the first process chamber; determine that the first process chamber is due for maintenance based on processing the first measurements using a first trained machine learning model; after maintenance has been performed on the first process chamber, receive second measurements generated by the sensors during or after a seasoning process is performed within the first process chamber; and determine that the first process chamber is ready to be brought back into service based on processing the second measurements using a second trained machine learning model.

Abstract: A substrate processing system comprises one or more transfer chambers; a plurality of process chambers connected to the one or more transfer chambers; and a computing device connected to each of the plurality of process chambers. The computing device is to receive first measurements generated by sensors of a first process chamber during or after a process is performed within the first process chamber; determine that the first process chamber is due for maintenance based on processing the first measurements using a first trained machine learning model; after maintenance has been performed on the first process chamber, receive second measurements generated by the sensors during or after a seasoning process is performed within the first process chamber; and determine that the first process chamber is ready to be brought back into service based on processing the second measurements using a second trained machine learning model.

Abstract: Systems and methods for enhancing inspection sensitivity to detect defects in wafers using an inspection tool are disclosed. A plurality of light emitting diodes illuminate at least a portion of a wafer and capture a set of grayscale images. A residual signal is determined in each image of the grayscale image set and the residual signal is subtracted from each image of the grayscale image set. Defects are identified based on the subtracted grayscale image set. Models of the inspection tool and wafer may be built and refined in some embodiments of the disclosed systems and methods.

Abstract: Systems and methods for enhancing inspection sensitivity to detect defects in wafers using an inspection tool are disclosed. A plurality of light emitting diodes illuminate at least a portion of a wafer and capture a set of grayscale images. A residual signal is determined in each image of the grayscale image set and the residual signal is subtracted from each image of the grayscale image set. Defects are identified based on the subtracted grayscale image set. Models of the inspection tool and wafer may be built and refined in some embodiments of the disclosed systems and methods.

Abstract: Methods and systems for measuring a characteristic of a substrate or preparing a substrate for analysis are provided. One method for measuring a characteristic of a substrate includes removing a portion of a feature on the substrate using an electron beam to expose a cross-sectional profile of a remaining portion of the feature. The feature may be a photoresist feature. The method also includes measuring a characteristic of the cross-sectional profile. A method for preparing a substrate for analysis includes removing a portion of a material on the substrate proximate to a defect using chemical etching in combination with an electron beam. The defect may be a subsurface defect or a partially subsurface defect. Another method for preparing a substrate for analysis includes removing a portion of a material on a substrate proximate to a defect using chemical etching in combination with an electron beam and a light beam.

Abstract: Methods and systems for measuring a characteristic of a substrate or preparing a substrate for analysis are provided. One method for measuring a characteristic of a substrate includes removing a portion of a feature on the substrate using an electron beam to expose a cross-sectional profile of a remaining portion of the feature. The feature may be a photoresist feature. The method also includes measuring a characteristic of the cross-sectional profile. A method for preparing a substrate for analysis includes removing a portion of a material on the substrate proximate to a defect using chemical etching in combination with an electron beam. The defect may be a subsurface defect or a partially subsurface defect. Another method for preparing a substrate for analysis includes removing a portion of a material on a substrate proximate to a defect using chemical etching in combination with an electron beam and a light beam.

Abstract: A method for wafer defect inspection may include, but is not limited to: providing an inspection target; applying at least one defect inspection enhancement to the inspection target; illuminating the inspection target including the at least one inspection enhancement to generate one or more inspection signals associated with one or more features of the inspection target; detecting the inspection signals; and generating one or more inspection parameters from the inspection signals. An inspection target may include, but is not limited to: at least one inspection layer; and at least one inspection enhancement layer.

Abstract: A method for wafer defect inspection may include, but is not limited to: providing an inspection target; applying at least one defect inspection enhancement to the inspection target; illuminating the inspection target including the at least one inspection enhancement to generate one or more inspection signals associated with one or more features of the inspection target; detecting the inspection signals; and generating one or more inspection parameters from the inspection signals. An inspection target may include, but is not limited to: at least one inspection layer; and at least one inspection enhancement layer.

Abstract: Methods and systems for measuring a characteristic of a substrate or preparing a substrate for analysis are provided. One method for measuring a characteristic of a substrate includes removing a portion of a feature on the substrate using an electron beam to expose a cross-sectional profile of a remaining portion of the feature. The feature may be a photoresist feature. The method also includes measuring a characteristic of the cross-sectional profile. A method for preparing a substrate for analysis includes removing a portion of a material on the substrate proximate to a defect using chemical etching in combination with an electron beam. The defect may be a subsurface defect or a partially subsurface defect. Another method for preparing a substrate for analysis includes removing a portion of a material on a substrate proximate to a defect using chemical etching in combination with an electron beam and a light beam.

Abstract: Techniques for efficiently setting up inspection, metrology, and review systems for operating upon semiconductor wafers are described. Specifically, this involves setting up recipes that allows each system to accurately inspect semiconductor wafers. The invention gathers pertinent information from these tools and presents the information to users in a way that greatly reduces the time required to complete a recipe. One system embodiment includes an inspection system and a review station that is communicatively linked such that the review station can read from and write to an entire set of data stored at the inspection system. The set of data includes image files of features detected by the inspection system.

Abstract: Methods and systems for measuring a characteristic of a substrate or preparing a substrate for analysis are provided. One method for measuring a characteristic of a substrate includes removing a portion of a feature on the substrate using an electron beam to expose a cross-sectional profile of a remaining portion of the feature. The feature may be a photoresist feature. The method also includes measuring a characteristic of the cross-sectional profile. A method for preparing a substrate for analysis includes removing a portion of a material on the substrate proximate to a defect using chemical etching in combination with an electron beam. The defect may be a subsurface defect or a partially subsurface defect. Another method for preparing a substrate for analysis includes removing a portion of a material on a substrate proximate to a defect using chemical etching in combination with an electron beam and a light beam.