Recent advances in the field of chemical process modelling have underscored the critical role of accurate parameter estimation and model optimisation. Robust models are essential to predict system ...

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 ...

Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...

In smart manufacturing, timely and accurate data flow is critical. Manufacturers seek to monitor every step in their process to ensure optimal results. However, significant challenges include ...

New integration and patterning schemes used in 3D memory and logic devices have created manufacturing and yield challenges. Industrial focus has shifted from the scaling of predictable unit processes ...