CREATING AN AI ECOSYSTEM FOR GRAPHENE

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2D fab is conducting a feasibility study regarding the possibility to build an AI ecosystem for graphene.
By combining our process and product data with the data of our partners, we believe we can build process solutions that will allow a more efficient production and create new business opportunities”, says Kajsa Lake, Production Manager at 2D fab.

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Foto: Marcus Spiske

The graphene industry is expected to grow rapidly in the coming years. Incorporating process solutions based on AI will improve the possibility of producing materials with high accuracy and repeatability. This is important, particularly since the proportion of waste and incorrectly produced material will be reduced.

2D fab has been granted funding from Sweden’s Innovation Agency Vinnova to conduct a feasibility study regarding the possibility to build an AI ecosystem for graphene’s value chain. During this study we will get in contact with suppliers of machinery and raw materials, as well as customers to investigate the interest in collaborating on this opportunity.

– AI will give us an opportunity to become a valuable partner to suppliers of raw materials and machinery, and an opening to create new businesses and business models. We also see great potential for customers. By integrating their process and product data with our production data, we can achieve the greatest possible performance/price ratio, Kajsa explains.

A collaboration with Chalmers

2D fab is investigating the possibility to sample and compile measurement data from different processes. We are already in contact with a company and a university in Brazil, where they have been using a Raman spectroscopy in a lab production of graphene. These spectra have been compared with other measurement methods that characterize size, thickness, defects etc.

­– With the help of AI and large amounts of data, we can connect the Raman spectra with physical properties. Such machine intelligence in combination with information from the value chain would let us control our production process in a much more elaborate way than before, Kajsa says.

The study will be conducted together with Chalmers University and run from October to May. According to Kajsa, hopes are high that the research will ultimately lead to a hands-on follow-up project.

– Hopefully, this feasibility study will confirm the possibility and interest in constructing this ecosystem, and we can continue on and start the project that will make AI a given and integral part of the graphene industry.

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