Abstract: A method for constructing a process performance prediction model for a material processing system, the method including the steps of: recording tool data for a plurality of observations during a process in a process tool, the tool data comprises a plurality of tool data parameters; recording process performance data for the plurality of observations during the process in the process tool, the process performance data comprises one or more process performance parameters; performing a partial least squares analysis using the tool data and the process performance data; and computing correlation data from the partial least squares analysis.

Abstract: Exemplary embodiments provide a controller system and method to control etch critical dimensions (CDs) during semiconductor manufacturing processes when the etch elements cannot be manipulated to control such end. The controller system includes a photo CD controller and an etch CD controller. The photo CD controller includes a first feedback loop that correlates a measured photo CD of a photo-processed semiconductor product back to the photo-process. The etch CD controller calculates a CD bias from the measured photo CD, a measured etch CD of a further etch-processed semiconductor product, and manufacturing targets for the photo CD and the etch CD. The CD bias is then fed back to the photo CD controller as a device-level CD-offset to adjust the target photo CD, which modifies the photo-process and generates the etch CD on the target etch CD. This automated etch CD control can be used for error corrections for product-to-product variations.

Abstract: A method and apparatus is presented for using a pressure control system to monitor a plasma processing system. By monitoring variations in the state of the pressure control system, a fault condition, an erroneous fault condition, or a service condition can be detected. For example, the service condition can include monitoring the accumulation of residue between successive preventative maintenance events.

Abstract: The present invention presents a method for detecting an endpoint of an etch process for etching a substrate in plasma processing system (1) comprising: etching the substrate; measuring at least one endpoint signal; generating at least one filtered endpoint signal by filtering the at least one endpoint signal, wherein the filtering comprises applying a Savitsky Golay filter (12) to the at least one endpoint signal; and determining (14) an endpoint of the etch process from the at least one filtered endpoint signal.

Abstract: An apparatus and method for detection of a feature etch completion within an etching reactor. The method includes determining a correlation matrix by recording first measured data regarding a first etch process over successive time intervals to form a first recorded data matrix, assembling a first endpoint signal matrix using target endpoint data for a specific etch process, performing a partial least squares analysis on the recorded data matrix and the first endpoint signal matrix to refine the recorded data matrix, and computing a correlation matrix based upon the refined recorded data matrix and the first endpoint signal matrix. The method further includes performing a second etch process to form a second recorded data matrix. The correlation matrix and the second recorded data matrix are analyzed to determine whether an endpoint of the second etch process has been achieved.

Abstract: A method and processing tool are provided for controlling trimming of a gate electrode structure containing a gate electrode layer with a first dimension by determining the first dimension of the gate electrode structure, choosing a target trimmed dimension, feeding forward the first dimension and the target trimmed dimension to a process model to create a set of process parameters, performing a trimming process on the gate electrode structure, including controlling the set of process parameter, trimming the gate electrode structure, and measuring a trimmed dimension of the gate electrode structure. The trimming process may be repeated at least once until the target trimmed dimension is obtained, where the trimmed dimension may be fed backward to the process model to create a new set of process parameters.

Abstract: A method of automatically configuring an Advanced Process Control (APC) system for a semiconductor manufacturing environment in which an auto-configuration script is generated for executing an auto-configuration program. The auto-configuration script activates default values for input to the auto-configuration program. The auto-configuration script is executed to generate an enabled parameter file output from the auto-configuration program. The enabled parameter file identifies parameters for statistical process control (SPC) chart generation.

Abstract: A method and system for determining a substrate type during a seasoning process is presented. An optical signal is acquired from a process in a plasma processing system, and the optical signal is compared to a pre-determined threshold value. Depending upon the comparison, the substrate type is determined to be of a correct type, or an incorrect type.

Abstract: According to an embodiment of the present invention, a material processing systeme (1) including a process tool (10) and a process performance control system (100). The process performance control system (100) includes a process performance controller (55) coupled to the process tool (10), where the process performance controller (55) includes a process performance prediction model (110), a process recipe correction filter (120), a process controller (130), and process performance model correction algorithm (150). The process performance prediction model (110) is configured to receive tool data from a plurality of sensors coupled to process tool (10) and to predict process performance data. The process recipe correction filter (120) is coupled to the process performance prediction model (110) and configured to receive predicted process performance data and generate a process recipe correction for run-to-run process control.

Abstract: A method and system of controlling a process from run-to-run for semiconductor manufacturing. The method of control utilizes a process model to establish a relationship between process control input data and process control output data. The method of control involves minimizing the difference between target process control output data and process control output data predicted by applying the process model to the new process control input data.

Abstract: The present invention presents a plasma processing system for etching a layer on a substrate comprising a process chamber, a diagnostic system coupled to the process chamber and configured to measure at least one endpoint signal, and a controller coupled to the diagnostic system and configured to determine in-situ at least one of an etch rate and an etch rate uniformity of the etching from the endpoint signal. Furthermore, an in-situ method of determining an etch property for etching a layer on a substrate in a plasma processing system is presented comprising the steps: providing a thickness of the layer; etching the layer on the substrate; measuring at least one endpoint signal using a diagnostic system coupled to the plasma processing system, wherein the endpoint signal comprises an endpoint transition; and determining the etch rate from a ratio of the thickness to a difference between a time during the endpoint transition and a starting time of the etching.

Abstract: The present invention presents a method for detecting an endpoint of an etch process for etching a substrate in plasma processing system (1) comprising: etching the substrate; measuring at least one endpoint signal; generating at least one filtered endpoint signal by filtering the at least one endpoint signal, wherein the filtering comprises applying a Savitsky Golay filter (12) to the at least one endpoint signal; and determining (14) an endpoint of the etch process from the at least one filtered endpoint signal.

Abstract: A method and apparatus is presented for using a pressure control system to monitor a plasma processing system. By monitoring variations in the state of the pressure control system, a fault condition, an erroneous fault condition, or a service condition can be detected. For example, the service condition can include monitoring the accumulation of residue between successive preventative maintenance events.

Abstract: A material processing system including a process tool and a process performance prediction system. The performance prediction system includes sensors coupled to the tool to measure tool data and a controller coupled to the sensors to receive tool data, where the controller is configured to predict the process performance for the tool using the tool data. A method for detecting a fault in a material processing system using a process performance prediction model is also provided. The method includes preparing the tool, initiating a process in the tool, and recording tool data to form to a tool data matrix. The method also includes performing a matrix multiplication of the tool data matrix and a correlation matrix to form predicted process performance data, where the correlation matrix includes the performance prediction model, comparing the predicted data with target data, and determining a fault condition of the processing system from the comparing step.

Abstract: According to an embodiment of the present invention, a material processing systeme (1) including a process tool (10) and a process performance control system (100). The process performance control system (100) includes a process performance controller (55) coupled to the process tool (10), where the process performance controller (55) includes a process performance prediction model (110), a process recipe correction filter (120), a process controller (130), and process performance model correction algorithm (150). The process performance prediction model (110) is configured to receive tool data from a plurality of sensors coupled to process tool (10) and to predict process performance data. The process recipe correction filter (120) is coupled to the process performance prediction model (110) and configured to receive predicted process performance data and generate a process recipe correction for run-to-run process control.

Abstract: A method and system for trimming a feature on a substrate is described. During a chemical treatment of the substrate, the substrate is exposed to a gaseous chemistry, such as HF/NH3, under controlled conditions including surface temperature and gas pressure. An inert gas is also introduced, and the flow rate of the inert gas is selected in order to affect a target trim amount during the trimming of the feature.

Abstract: A method and system for trimming a feature on a substrate. During a chemical treatment of the substrate, the substrate is exposed to a reactive gaseous chemistry, such as HF/NH3, under controlled conditions. An inert gas can also be introduced with the reactant gaseous chemistry. A process model is developed for an aspect of the first reactant, an aspect of the second reactant, and an aspect of the optional inert gas. Upon specifying a target trim amount, the process model is utilized to determine a process recipe for achieving the specified target.

Abstract: A method and processing tool are provided for controlling trimming of a gate electrode structure containing a gate electrode layer with a first dimension by determining the first dimension of the gate electrode structure, choosing a target trimmed dimension, feeding forward the first dimension and the target trimmed dimension to a process model to create a set of process parameters, performing a trimming process on the gate electrode structure, including controlling the set of process parameter, trimming the gate electrode structure, and measuring a trimmed dimension of the gate electrode structure. The trimming process may be repeated at least once until the target trimmed dimension is obtained, where the trimmed dimension may be fed backward to the process model to create a new set of process parameters.

Abstract: A system and method for transferring a pattern from an overlying layer into an underlying layer, while laterally trimming a feature present within the pattern is described. The pattern transfer is performed using an etch process according to a process recipe, wherein at least one variable parameter within the process recipe is adjusted given a target trim amount. The adjustment of the variable parameter is achieved using a process model established for relating trim amount data with the variable parameter.

Abstract: A method and system for trimming a feature on a substrate is described. During a chemical treatment of the substrate, the substrate is exposed to a reactive gaseous chemistry, such as HF/NH3, under controlled conditions including surface temperature and gas pressure. An inert gas can, for example, also be introduced with the reactant gaseous chemistry. The period of time during which the substrate is exposed to the reactive gaseous chemistry is selected in order to affect a target trim amount during the trimming of the feature.