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 ...

Three years ago, I wrote a blog entitled “Linking Virtual Wafer Fabrication Modeling with Device-level TCAD Simulation,” in which I described the seamless connection between the SEMulator3D virtual ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

It’s a topic that cannot be avoided for any longer. The ongoing Paris Climate Conference has seen an unprecedented amount of participation - even before the summit began, over 150 countries submitted ...

Novel semiconductor technologies are creating complex process flows, which are needed to support the manufacturing of advanced 3D semiconductor structures. It can be helpful to model process flows, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

In-silico design facilitates process optimization and evaluation of process control strategies. The pharmaceutical industry has recognized the value of implementing a systematic approach to drug ...

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 ...