Using advanced transfer learning methods, we can quickly develop processes by understanding how they behave across different scales and products. Hybrid models are particularly useful because they combine data with process knowledge, making the development process more cost-effective as less experiments are required. We will showcase a new method for learning across different products and how it can be applied in digital twins to aAgendaccelerate process development.
