First order process modeling can help tremendously with process setup and integration challenges that occur in a semiconductor fabrication flow, by visualizing process variation problems “virtually” ...

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

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 ...

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 ...

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 ...

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 ...

The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.