Shrinking technology nodes and smaller process margins require improved photolithography overlay control. Generally, overlay measurement results are modeled with Cartesian polynomial functions for ...

Multiscale modelling and control of thin film deposition processes encompass advanced simulation techniques that integrate phenomena occurring over disparate spatial and temporal scales. At the ...

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 ...

Distributed control systems and programmable logic controllers have long been used to regulate power plant operations, but advanced techniques that have been proven in refining and other industries ...

Aspen Technology's Elinor Price describes how advanced process control modeling and simulation can become part of the modern control room. An upcoming feature article in January, "Changing Workforce ...

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 ...

Systems-based pharmaceutics case studies, challenges, and new uses were discussed at PSE’s Advanced Process Modeling Forum. Systems-based Pharmaceutics (SbP) uses a systems engineering approach and ...

Model-predictive design is applied to solid-dosage processes. Model-predictive design—used to define, predict, and control a process—is well established in many industries and is beginning to take ...

We propose an approach for the modeling, monitoring and control of operational risk in financial institutions based on a methodology that integrates business process modeling with statistical and ...