models retain all characteristic of deterministic models in term of flexibility and they are the ideal tool to create extensive knowledge libraries among different product, scales,
equipment types, or even business units and sites.
like batch or continuous operations are not impacting the underlying physical mechanisms but only the process interface with the external or with other units. Such changes can be
easily taken into account by changing the mechanistic part of the model, for instance by introducing inlet and outlet flows.
to different equipment types, scales or configurations makes DataHow’s hybrid technology the perfect candidate for any type on in-silico process forecast, investigation or scenario
technology is focusing on the understanding of the main process physical quantities, such as the cell growth rate in a cell culture process or the adsorption isotherm in a
Using DataHow’s model
it is then possible to compare such fundamental quantities across products and scales, compare correlation structures with the explanatory variables and transfer knowledge that it is
either product specific or unspecific.