Mathematical modelling can effectively be applied to improve today’s knowledge and contribute significantly to solve industrial challenges. Much insight can be established by mathematical analysis. The mathematical descriptions will further supply the basis for computations/simulations, applying modern computers and advanced software. Such simulations constitute valuable tools for enhanced process understanding, process improvements and novel innovations.
Another approach is data-driven analysis where available data is analysed to find hidden patterns. Available tools include artificial intelligence, chemometrics, and other techniques for “big data analytics”.
The conference will comprise
- Industrial needs and challenges
- Traditional, physics-based, models
- Digitalization, data-driven modelling
One important issue is how physics-based insight and data-driven analysis may complement each other. The conference aims at improving the communication/dialogue between industry and academia, which will be of great value for both communities.