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Unique process data paves the way for AI assistants in industry

Separating lignin from cellulose is a crucial step in paper and pulp production. In his post-doctoral project, Farinaz Ebrahimian is using unique data from industry to build a model that describes this process in detail. The model can be used to train AI assistants to help industry move towards more efficient and controlled manufacturing.

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New collaborations drive research forward

The industrial Graduate School Resource Smart Processes is based on the commitment of several Swedish universities and industrial companies. The collaboration across university boundaries and between industry and academia has been developed under the leadership of three female researchers with different academic backgrounds. Today, the graduate school is a unique platform for research on bio-based processes.

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Ny AI-satsning ska optimera massakoket

Företagsforskarskolan Resurssmarta processer satsar på AI-forskning. Med hjälp av processdata utvecklar tre post doc:s vid Linköpings universitet och Chalmers AI-stödda modeller som kan göra massatillverkningsprocessen som kallas sulfatkok mer resurseffektiv. ”Vi gör en strategisk satsning där industrins behov styr åt vilket håll forskningen breddas”, säger Merima Hasani, projektledare för Företagsforskarskolan.

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Forskar för grönare massa- och pappersproduktion

Under sin uppväxt fascinerades Eashwara Raju av det stora pappersbruket i utkanten av hemstaden Komarapalayam i södra Indien. Idag arbetar han på KTH och vill som doktorand inom Företagsforskarskolan Resurssmarta processer bidra till att effektivisera och öka hållbarheten inom massa- och pappersindustrin. Eashwara djupdyker i ett rätt outforskat men viktigt processteg.

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New technology for measuring the smallest components of wood pulp could make paper and paperboard production more efficient

In the paper and packaging industry, having control of the smallest components in the wood pulp is important for the efficiency of the manufacturing process and the properties of the finished products. A doctoral project within the Industrial Graduate School, Resource-Smart Processes, is currently developing a method that allows the industry to capitalise on this. The goal is smarter and more resource-efficient paper and cardboard production.

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