Machine Learning Accelerate Development of New Sustainable Materials
Polymers and plastics play decisive roles in our everyday life and constitute a huge factor in our economy. There is a constant need for new production methods and new materials with new or improved properties; especially sustainability is of increasing importance.
Handling, processing, and learning from data is currently a major focus area. Data collection, data mining, and machine learning are driving new changes. In materials science, we foresee a data-driven approach to have a transforming effect on science, technology, and production. With data-driven techniques, it will become possible to engage data in more efficient and rational processes. We will use computational methods to design material and optimize the properties.
Want to contribute
- Provide macroscopic parameters dataset from production line to train ML model
- Collaboration on identification of macroscopic descriptors
- Constant feedback on continuum mechanics modelling and chemical modifications
- Other contribution?