Liquid formulated products have a large number of applications in chemical, energy, and environmental industries, and include a wide range of products such as pharmaceuticals, food, fuels, cosmetics and personal care products, polymers etc. They are produced by mixing different ingredients together in order to achieve a set of desired product characteristics. The nature of the formulated product design problem is diverse and multidisciplinary. It includes many issues, such as product design, process design, economic and environmental analyses. With the global business environment striving for shorter time-to-market for products, there is a need for faster development cycles in the chemical and formulation industries.
Optimisation of Formulations Using Robotic Experiments Driven By Machine Learning Doe / Cao, L; Russo, D; Mauer, W; Gao, Hh; Lapkin, A. - (2020). (Intervento presentato al convegno AIChE Annual Meeting).
Optimisation of Formulations Using Robotic Experiments Driven By Machine Learning Doe
Russo D;
2020
Abstract
Liquid formulated products have a large number of applications in chemical, energy, and environmental industries, and include a wide range of products such as pharmaceuticals, food, fuels, cosmetics and personal care products, polymers etc. They are produced by mixing different ingredients together in order to achieve a set of desired product characteristics. The nature of the formulated product design problem is diverse and multidisciplinary. It includes many issues, such as product design, process design, economic and environmental analyses. With the global business environment striving for shorter time-to-market for products, there is a need for faster development cycles in the chemical and formulation industries.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
