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Experimental design and computational modeling

Complex technical problems often require more than just laboratory testing to solve them. The way in which an experiment is designed and how the data is analyzed can be vital to a project’s success and meeting a project’s deadline.

Arkema Analytical Solutions experimental design and modeling group employs the latest computational methodologies to perform molecular, process and statistical modeling in order to provide timely insights on product, process and formulation development. Statistical and process models can be implemented to study large and complex datasets, generated from manufacturing processes and high-throughput experimentation, in order to provide solutions that can optimize chemical processes and product formulation, and improve plant safety via fault detection and process system analysis.