Artificial intelligence helps polyurethane systems formulation

The specialty chemicals company Lanxess has launched a project aimed at expanding its range of prepolymers. The goal is to offer customers tailor-made polyurethane systems with even shorter lead times, including for entirely new applications with different requirements. The Urethane Systems business unit is using the potential of AI and has brought materials AI company Citrine Informatics on board as a project partner.

 

In an initial project phase, Lanxess enlarged its database of prepolymer-based formulations. Lanxess data specialists and process experts used the Citrine Platform for artificial intelligence to add further data points to the company's formulation database. In a next step, data and process experts at Lanxess will check how reliably optimal formulations can be predicted with the aid of AI to meet customer-specific requirements for product characteristics.

 

“If the next tests are successful, we will be able to fulfill customer requests even more quickly and effectively. Our existing knowledge of formulations shall be enhanced by AI-assisted formulation design - in other words, systems that are not yet part of our portfolio but for which artificial intelligence will enable us to know instantly whether we can manufacture them and how,” says Markus Eckert, head of the Urethane Systems business unit.

 

So far, chemists have largely had to rely on their specialist expertise and years of experience when researching new formulations with defined product characteristics such as hardness, tensile strength and viscosity. AI is expected to become an important tool to help them broaden their knowledge and significantly reduce the amount of tests required. Lanxess already has some experience in using AI. In a pilot project with Citrine Informatics, the specialty chemicals company is using AI to optimize glass fibres as a way of further enhancing the properties of Lanxess high-performance plastics. It is anticipated that AI will cut development times for the necessary formulations by more than half. Customers will receive even better, tailor-made products within shorter time frames.