Formulation AI for the Guided Viscosity Design of Complex Fluids
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Poster at Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania
The design of complex fluids is a challenging task due to the high-dimensional formulation space. In this work, we developed a genetic algorithm-based and physics-informed formulation AI to predict the dynamic viscosity of non-Newtonian complex fluids. We showed how AI can be implemented to discover new viscosity models that are more related to real-life datasets than empirical models such as the Cross model. More information here.