High-Precision Drop-on-Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning

Published: 1 July 2024| Version 1 | DOI: 10.17632/tk2y8tsn3z.1
Contributor:
shahzaib ali

Description

Video of comparison between experimental and theoretical results.

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Institutions

Categories

Mechanical Engineering, Electrohydrodynamics

Funders

  • National Research Foundation of Korea
    Daejeon, South Korea
    Grant ID: Grant No. RS-2023-00239590
  • Ministry of Trade, Industry, and Energy of South Korea
    Grant ID: Grant No. 20026376 (1415188205)

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