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.

Files

Institutions

Sungkyunkwan University

Categories

Mechanical Engineering, Electrohydrodynamics

Funding

National Research Foundation of Korea

Grant No. RS-2023-00239590

Ministry of Trade, Industry, and Energy of South Korea

Grant No. 20026376 (1415188205)

Licence