Results 241 to 250 of about 3,346 (295)

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

A maximal-coverage approach to prioritizing newborn sickle cell screening sites in Uganda using a sickle cell-malaria co-risk surface. [PDF]

open access: yesMalar J
Paasi G   +8 more
europepmc   +1 more source

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