Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...
Chipmakers are relying on machine learning for electroplating and wafer cleaning at leading-edge process nodes, augmenting traditional fault detection/classification and statistical process control in ...
Stop Losing Money to Process Variability with These Proven Multi-Variable Process Control Strategies
Advanced process control systems manage multiple variables simultaneously, helping food manufacturers maintain consistent quality even when raw ingredients fluctuate. Four control strategies — ...
Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What ...
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