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Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning (Adv. Mater. Technol. 15/2026)
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DOI：10.1002/admt.71195.png)
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Abstract
En 中文
Printable Electronic Materials
This special issue highlights flexible, stretchable and printable electronic materials for sustainable healthcare, sensing and actuation, energy applications and interconnections. Among many articles, Maximilian Krack, Lennert Purnal, Asad Ullah, Monika Rai, Wim Deferme and co-workers present advanced fabrication approaches of stretchable electronics with a liquid metal conductor and demonstrate their potential in nature-inspired strain sensors for fruit monitoring applications. See, for example, Research Article e02104.
Keywords:
droplet formation
machine learning modeling
phase doppler anemometry
ultrasonic spray coating
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