Machine learning to empower electrohydrodynamic processing

Written by Moe Elbadawi

Electrohydrodynamic (EHD) processes are promising healthcare fabrication technologies, as evidenced by the number of commercialised and food-and-drug administration (FDA)-approved products produced by these processes. Their ability to produce both rapidly and precisely nano-sized products provides them with a unique set of qualities that cannot be matched by other fabrication technologies. That said, there are many parameters to consider when opmitising product development. In our latest review, we consider the application of ML in accelerating EHD developments.

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