DoE, mechanistic modeling, and artificial intelligence in chromatography

Using modeling during process development can improve efficiency. In this presentation we discuss the benefits and considerations for process development scientists who want to apply statistical modeling (design of experiments, DoE), mechanistic modeling, or want use machine learning/artificial intelligence.

We also discuss the fundamental principles of these different approaches and the resulting requirements to apply them. Further, we provide an overview of the current application areas and an outlook for future use.

Speaker:
Martin Sichting

To learn more, visit https://cytiva.com/DoE and https://cytiva.com/modeling