Artificial Intelligence Algorithms Enable Automated Characterization of the Positive and Negative Dielectrophoretic Ranges of Applied Frequency

Artificial Intelligence Algorithms Enable Automated Characterization of the Positive and Negative Dielectrophoretic Ranges of Applied Frequency

The present work describes the phenomenological approach to automatically determine the frequency range for positive and negative dielectrophoresis (DEP)—an electrokinetic force that can be used for massively parallel micro- and nano-assembly. An experimental setup consists of the microfabricated ch...

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Bibliographic Details
Main Authors: Matthew Michaels, Shih-Yuan Yu, Tuo Zhou, Fangzhou Du, Mohammad Abdullah Al Faruque, Lawrence Kulinsky
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Micromachines
Subjects:
guided micro-/nano-assembly
artificial intelligence
dielectrophoresis
electrokinetic assembly
Online Access:https://www.mdpi.com/2072-666X/13/3/399

Internet

https://www.mdpi.com/2072-666X/13/3/399

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