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: Embodiments disclosed herein include a method of calibrating a processing chamber. In an embodiment, the method comprises placing a sensor wafer onto a support surface in the processing chamber, wherein a process kit displaceable in the Z-direction is positioned around the support surface. In an embodiment, the method further comprises measuring a first gap distance between the sensor wafer and the process kit with a sensor on an edge surface of the sensor wafer. In an embodiment, the method further comprises displacing the process kit in the Z-direction. In an embodiment, the method further comprises measuring an additional gap distance between the sensor wafer and the process kit.

Abstract: Embodiments disclosed herein include a method of calibrating a processing chamber. In an embodiment, the method comprises placing a sensor wafer onto a support surface in the processing chamber, wherein a process kit displaceable in the Z-direction is positioned around the support surface. In an embodiment, the method further comprises measuring a first gap distance between the sensor wafer and the process kit with a sensor on an edge surface of the sensor wafer. In an embodiment, the method further comprises displacing the process kit in the Z-direction. In an embodiment, the method further comprises measuring an additional gap distance between the sensor wafer and the process kit.

Abstract: Embodiments disclosed herein include a sensor wafer. In an embodiment, the sensor wafer comprises a substrate, wherein the substrate comprises a first surface, a second surface opposite the first surface, and an edge surface between the first surface and the second surface. In an embodiment, the sensor wafer further comprises a plurality of sensor regions formed along the edge surface, wherein each sensor region comprises a self-referencing capacitive sensor.

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: Embodiments disclosed herein include a sensor wafer. In an embodiment, the sensor wafer comprises a substrate, wherein the substrate comprises a first surface, a second surface opposite the first surface, and an edge surface between the first surface and the second surface. In an embodiment, the sensor wafer further comprises a plurality of sensor regions formed along the edge surface, wherein each sensor region comprises a self-referencing capacitive sensor.

Abstract: Embodiments disclosed herein include a sensor wafer. In an embodiment, the sensor wafer comprises a substrate, wherein the substrate comprises a first surface, a second surface opposite the first surface, and an edge surface between the first surface and the second surface. In an embodiment, the sensor wafer further comprises a plurality of sensor regions formed along the edge surface, wherein each sensor region comprises a self-referencing capacitive sensor.

Abstract: Embodiments disclosed herein include a sensor wafer. In an embodiment, the sensor wafer comprises a substrate, wherein the substrate comprises a first surface and a second surface opposite the first surface. In an embodiment, the sensor wafer further comprises a first conductive pad with a first surface area, wherein the first conductive pad has a surface that is substantially coplanar with the first surface of the substrate. In an embodiment, the sensor wafer further comprises a second conductive pad with a second surface area that is smaller than the first surface area, wherein the second conductive pad has a surface that is substantially coplanar with the first surface of the substrate.

Abstract: Embodiments disclosed herein include a method of calibrating a processing chamber. In an embodiment, the method comprises placing a sensor wafer onto a support surface in the processing chamber, wherein a process kit displaceable in the Z-direction is positioned around the support surface. In an embodiment, the method further comprises measuring a first gap distance between the sensor wafer and the process kit with a sensor on an edge surface of the sensor wafer. In an embodiment, the method further comprises displacing the process kit in the Z-direction. In an embodiment, the method further comprises measuring an additional gap distance between the sensor wafer and the process kit.

Abstract: Embodiments disclosed herein include a sensor wafer. In an embodiment, the sensor wafer comprises a substrate, wherein the substrate comprises a first surface, a second surface opposite the first surface, and an edge surface between the first surface and the second surface. In an embodiment, the sensor wafer further comprises a plurality of sensor regions formed along the edge surface, wherein each sensor region comprises a self-referencing capacitive sensor.

Abstract: Embodiments disclosed herein include a sensor wafer. In an embodiment, the sensor wafer comprises a substrate, wherein the substrate comprises a first surface and a second surface opposite the first surface. In an embodiment, the sensor wafer further comprises a first conductive pad with a first surface area, wherein the first conductive pad has a surface that is substantially coplanar with the first surface of the substrate. In an embodiment, the sensor wafer further comprises a second conductive pad with a second surface area that is smaller than the first surface area, wherein the second conductive pad has a surface that is substantially coplanar with the first surface of the substrate.