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

IF 6.8 Q1 AUTOMATION & CONTROL SYSTEMS
Shaheer Mohiuddin Khalil, Shahzaib Ali, Vu Dat Nguyen, Dae-Hyun Cho, Doyoung Byun
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Abstract

High-Precision Drop-on-Demand Printing

In article number 2400621, Dae-Hyun Cho, Doyoung Byun, and co-workers introduce a high-precision printing technique that uses charged droplets to pattern complex, nonplanar surfaces with the help of machine learning. The method suits flexible electronics and display technologies, enabling precise material deposition on curved and 3D substrates. This approach promises new possibilities in advanced manufacturing and next-generation device fabrication.

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来源期刊
CiteScore
1.30
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0.00%
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审稿时长
4 weeks
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