LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment. Formerly known as gPROMS ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...

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 ...

We first developed a virtual device structure to test how ALD thickness affects hole size uniformity and CD. We started our virtual experiment by using two crisscross SAQP processes and transferring a ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

In an era of growing environmental uncertainties, ensuring food security while maintaining sustainable agricultural practices is a major global challenge. Regional-scale crop growth and associated ...