2001
DOI: 10.1109/70.964665
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Indirect adaptive control of reactive ion etching using neural networks

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Cited by 7 publications
(3 citation statements)
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“…In [102], the control system is extended to include the control of . Etch rate of GaAs, measured using spectroscopic ellipsometry, is also controlled in [103].…”
Section: ) Control Of Etch Variablesmentioning
confidence: 99%
“…In [102], the control system is extended to include the control of . Etch rate of GaAs, measured using spectroscopic ellipsometry, is also controlled in [103].…”
Section: ) Control Of Etch Variablesmentioning
confidence: 99%
“…Real-time control of plasma etch rate has been reported by a number of researchers, but typically requires the use of bulky, expensive, or invasive measurement techniques. For example, Sarfaty et al [6] use laser reflectance interferometry (LRI), Stokes and May [7] use data from LRI, laser interferometry (LI), residual gas analysis (RGA), and optical emission spectroscopy (OES), and Rosen et al [8] use in-situ spectroscopic ellipsometry measurements of wafer thickness to implement real-time control.…”
Section: Introductionmentioning
confidence: 99%
“…For example, Sarfaty et al [17] implement real-time control of etch rate using a proportionalintegral-derivative (PID) controller, model-based feed-forward action for large changes in etch rate set point, and laser reflectance interferometry (LRI) to measure the etch rate. Stokes and May [18,19] describe control of etch rate using indirect adaptive control and data from LRI Laser interferometry (LI), residual gas analysis (RGA), and optical emission spectroscopy (OES) for process feedback. Rosen et al [20] develop real-time feed-back controllers for etch processes based on in situ spectroscopic ellipsometry measurements of wafer thickness.…”
Section: Introductionmentioning
confidence: 99%