Data analysis, physical modelling and knowledge integration to assess quality

Data analysis, physical modelling and knowledge integration to assess quality

Our team uses experimental approaches coupled with modelling based on data analysis, physical modelling or knowledge integration to assess quality.

MC2 Modélisation
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Gathering knowledge and data from professionals, statistically processing data from structural analyses in the laboratory, and modelling processes by measuring behavioural properties (e.g. rheology), leads to a hybrid model which, after testing, improvement and validation, can be used as a decision-making tool.