ImRheo provides a new technique to measure the mechanical properties of soft materials, based on image processing and artificial intelligence.
ImRheo’s goal is to develop a cheaper and simpler rheometer, which can be used for applications in food (foams, emulsions, colloids, etc.), cosmetics (gels, creams, foams, etc.), constructions engineering (concrete), petroleum (waxy oil), coating (paints), bioengineering (bioprinters, saliva testing), etc.
The team of physicists and computer scientists uses the discoveries of the past eight years on the flow of rheological materials, and will design software that uses a physics-informed Machine Learning algorithm to measure the rheological properties of liquids (elasticity, plasticity, and viscosity) only with imaging. The goals for this project have been set together with companies active in these application areas.
Location: @Science Park
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