Lam Research Corporation

Gunsu Yun

Vijayakumar C Venugopal

Brian D Choi

Iqbal A Shareef

Robert Charatan

Norman Williams

Kurt M Jorgensen

A method for automatically detecting fault conditions and classifying the fault conditions during substrate processing is provided. The method includes collecting processing data by a set of sensors during the substrate processing. The method also includes sending the processing data to a fault detection/classification component. The method further includes performing data manipulation of the processing data by the fault detection/classification component. The method yet also includes executing a comparison between the processing data and a plurality of fault models stored within a fault library. Each fault model of the plurality of fault models represents a set of data characterizing a specific fault condition. Each fault model includes at least a fault signature, a fault boundary, and a set of principal component analysis (PCA) parameters.

Automatic fault detection and classification in a plasma processing system and methods thereof

A test system for facilitating determining whether a plasma processing system (which includes a plasma processing chamber) is ready for processing wafers. The test system may include a computer-readable medium storing at least a test program. The test program may include code for receiving electric parameter values derived from signals detected by at least one sensor when no plasma is present in the plasma processing chamber. The test program may also include code for generating electric model parameter values using the electric parameter values and a mathematical model. The test program may also include code for comparing the electric model parameter values with baseline model parameter value information. The test program may also include code for determining readiness of the plasma processing system based on the comparison. The test system may also include circuit hardware for performing one or more tasks associated with the test program.

Determining plasma processing system readiness without generating plasma

A method for establishing a mass flow controller (MFC) control scheme, which is configured for reducing a time scale for gas delivery into a processing chamber, for a recipe is provided. The method includes identifying a set of delayed gas species utilized during execution of the recipe with a set of delivery time slower than a target delivery time scale. The method also includes establishing an initial overshoot strength and an initial overshoot duration for each gas specie of the set of delayed gas species. The method further includes establishing MFC control scheme by adjusting an MFC hardware for each gas specie during the execution of the recipe. Adjusting the MFC hardware includes applying the initial overshoot strength for the initial overshoot duration to determine if the MFC control scheme provides for each gas specie a pressure profile within a target accuracy of an equilibrium pressure for the processing chamber.

Methods for controlling time scale of gas delivery into a processing chamber

A method for predicting etch rate uniformity for qualifying health status of a processing chamber during substrate processing of substrates is provided. The method includes executing a recipe and receiving processing data from a first set of sensors. The method further includes analyzing the processing data utilizing a subsystem health check predictive model to determine calculated data, which includes at least one of etch rate data and uniformity data. The subsystem health check predictive model is constructed by correlating measurement data from a set of film substrates with processing data collected during analogous processing of a set of non-film substrates. The method yet also includes performing a comparison of the calculated data against a set of control limits as defined by the subsystem health check predictive model. The method yet further includes generating a warning if the calculated data is outside of the set of control limits.

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Pohang, South Korea

Gunsu Yun