Abstract:
The present disclosure is a method of bonding an electrostatic chuck to a temperature control base. According to the embodiments, a bonding layer is formed between a dielectric body comprising the electrostatic chuck and a temperature control base. A flow aperture extends through the dielectric body and is aligned with a flow aperture in the temperature control base. The bonding layer is also configured with an opening that aligns with apertures in the dielectric body and the temperature control base. In one aspect, a porous plug may be disposed within the flow aperture to protect the bonding layer. In another aspect, a seal is disposed within the flow aperture to seal off the boding layer from gases in the flow aperture.
Abstract:
Implementations described herein provide a substrate support assembly which enables tuning of a plasma within a plasma chamber. In one embodiment, a method for tuning a plasma in a chamber is provided. The method includes providing a first radio frequency power and a direct current power to a first electrode in a substrate support assembly, providing a second radio frequency power to a second electrode in the substrate support assembly at a different location than the first electrode, monitoring parameters of the first and second radio frequency power, and adjusting one or both of the first and second radio frequency power based on the monitored parameters.
Abstract:
The present disclosure is a method of bonding an electrostatic chuck to a temperature control base. According to the embodiments, a bonding layer is formed between a dielectric body comprising the electrostatic chuck and a temperature control base. A flow aperture extends through the dielectric body and is aligned with a flow aperture in the temperature control base. The bonding layer is also configured with an opening that aligns with apertures in the dielectric body and the temperature control base. In one aspect, a porous plug may be disposed within the flow aperture to protect the bonding layer. In another aspect, a seal is disposed within the flow aperture to seal off the boding layer from gases in the flow aperture.
Abstract:
The present disclosure is a method of bonding an electrostatic chuck to a temperature control base. According to the embodiments, a bonding layer is formed between a dielectric body comprising the electrostatic chuck and a temperature control base. A flow aperture extends through the dielectric body and is aligned with a flow aperture in the temperature control base. The bonding layer is also configured with an opening that aligns with apertures in the dielectric body and the temperature control base. In one aspect, a porous plug may be disposed within the flow aperture to protect the bonding layer. In another aspect, a seal is disposed within the flow aperture to seal off the boding layer from gases in the flow aperture.
Abstract:
Implementations described herein provide a substrate support assembly which enables tuning of a plasma within a plasma chamber. In one embodiment, a method for tuning a plasma in a chamber is provided. The method includes providing a first radio frequency power and a direct current power to a first electrode in a substrate support assembly, providing a second radio frequency power to a second electrode in the substrate support assembly at a different location than the first electrode, monitoring parameters of the first and second radio frequency power, and adjusting one or both of the first and second radio frequency power based on the monitored parameters.
Abstract:
The disclosure describes methods and systems for training and deploying a machine learning predictive model for use in a semiconductor manufacturing process. Specifically, the present disclosure provides for training machine learning predictive models for manufacturing components using design data, process parameters, gas flow configurations from a pixelated showerhead, temperature profile across an electrostatic chuck, and measured uniformity profiles of processed wafers. The present disclosure also provides for deploying the machine learning predictive model to effectuate real-time adjustments to a manufacturing process.
Abstract:
The disclosure describes methods and systems for operating a manufacturing process with a concurrent real-time simulation of the manufacturing process via a digital twin model. Sensor data indicative of parameters of an ongoing manufacturing process are input into the digital twin model, and used to predict an output of the manufacturing process. The predicted output is compared to a target output. One or more trained machine learning models are used to determine a corrective action to be implemented by a controller of the manufacturing process to minimize any deviation from the target output.
Abstract:
The present disclosure generally relates to plasma assisted or plasma enhanced processing chambers. More specifically, embodiments herein relate to electrostatic chucking (ESC) substrate supports configured to provide independent pulses of direct-current (“DC”) voltage through a switching system to electrodes disposed in the ESC substrate support. In some embodiments, the switching system can independently alter the frequency and duty cycle of the pulsed DC voltage that is coupled to each electrode. In some embodiments, during processing of the substrate, the process rate, such as etch rate or deposition rate, can be controlled independently in regions of the substrate because the process rate is a function of the frequency and duty cycle of the pulsed DC voltage. The processing uniformity of the process performed on the substrate is improved.