Machine learning to empower electrohydrodynamic processing

Volume: 132, Pages: 112553 - 112553
Published: Jan 1, 2022
Abstract
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. Consequently, this has stimulated the development of EHD...
Paper Details
Title
Machine learning to empower electrohydrodynamic processing
Published Date
Jan 1, 2022
Volume
132
Pages
112553 - 112553
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.