Swedish Researchers Develop AI-Powered Digital Twin for Chemical Process Optimization

A team from KTH Royal Institute of Technology has created a digital twin to simulate and optimize chemical processes.

The digital twin, developed in collaboration with industry partners, uses machine learning algorithms to model and predict chemical reactions.

This allows for real-time monitoring and optimization of processes, reducing energy consumption and emissions.

The researchers aim to apply their technology to various industrial applications, including the production of biofuels and chemicals.