Advanced Micro Devices Corporation

Brooks Automation Gmbh

Keith A Edwards

Peter J Beckage

Jianping Zou

James Anthony Mullins

Ralf B Lukner

Wonhui Cho

A method for a run-to-run (R2R) control system includes processing materials using a process input and producing a process output, storing the process input in a database, the storing including using a timestamp, and storing at least one measurement of the process output in the database aligned with each process input using the timestamp. The method further includes iterating over the data in the database to estimate one or more coefficients for a model, and, if one or more measurements is missing, replacing the missing measurements based on a prediction from said model. The model is updated with said coefficient estimates. The method additionally includes iterating over the data from the database to estimate a process state, and, if one or more of the measurements is missing from the database, replacing the missing measurements based on prediction from the model. The model is updated with said process state estimate. A controller may receive the updated model and utilize the model to produce the next process input. The updated model may also be utilized to generate an estimate for a measurable process variable, wherein the estimate can be compared to an actual measurement to determine if the estimate is within confidence limits. If the estimate is not within confidence limits, a fault is indicated.

Semiconductor run-to-run control system with state and model parameter estimation

A method for a run-to-run (R2R) control system includes processing materials using a process input and producing a process output, storing the process input in a database, the storing including using a timestamp, storing at least one measurement of the process output in the database aligned with each process input using the timestamp, iterating over the data from the database to estimate a process state, and, if one or more of the measurements is missing from the database, predicting the missing measurements for the database based on a model, and determining an error for calculating a next process input, the error based on the data in the database.

Semiconductor run-to-run control system with missing and out-of-order measurement handling

An apparatus and method for detecting a process endpoint. The method includes receiving a first data signal and a second data signal and combining the first data signal and the second data signal to generate a combined data signal. The method also includes detecting a peak in the combined data signal, wherein the peak indicates the process endpoint. The apparatus includes a data collection unit capable of receiving a plurality of data signals and a signal analysis unit. The signal analysis unit is capable of combining the plurality of data signals received through the data collection unit to generate a combined data signal and identifying a peak in the combined data signal indicative of the process endpoint.

Method and apparatus for detecting a process endpoint

The invention, in a first aspect, includes a method and apparatus for detecting the endpoint in a chemical-mechanical polishing process. The first aspect includes a chemical-mechanical polishing tool modified to receive a first and a second data signal; combine the first and second data signals to generate a combined data signal; and detect a peak in the combined data signal, wherein the peak indicates the process endpoint. In a second aspect, the invention is a method and an apparatus for detecting the endpoint in a chemical-mechanical polishing process. The second aspect includes an apparatus implementing a method in which a data signal is received. The data signal is analyzed to detect a peak indicative of the process endpoint in the received data signal. The peak detection includes determining a high value for an initial peak; determining a low value for a following trough; estimating a value for the endpoint process from the high value and the low value; performing a least squares fit on the received data signal to identify subsequent peaks therein; filtering out a subsequent peak less than the estimated value; and identifying a remaining subsequent peak as the process endpoint. One particular embodiment includes both of these aspects.

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Austin, TX, United States of America

Keith A Edwards